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Autor Gelbukh, Alexander |
Documentos disponibles escritos por este autor (10)



17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part I / Gelbukh, Alexander
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TÃtulo : 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part I Tipo de documento: documento electrónico Autores: Gelbukh, Alexander, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXXI, 678 p. 115 ilustraciones ISBN/ISSN/DL: 978-3-319-75477-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento del lenguaje natural (Informática) LigüÃstica computacional Procesamiento de datos Software de la aplicacion Inteligencia artificial Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 9623 + 9624 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2016 que tuvo lugar en Konya, TurquÃa, en abril de 2016. El total de 89 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre 298 presentaciones. El libro también contiene 4 artÃculos invitados y un artÃculo conmemorativo sobre el legado de Adam Kilgarriff a la lingüÃstica computacional. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: En memoria de Adam Kilgarriff; formalismos generales; incrustaciones, modelado de lenguaje y etiquetado de secuencias; recursos léxicos y extracción de terminologÃa; morfologÃa y etiquetado de partes del discurso; sintaxis y fragmentación; reconocimiento de entidad nombrada; desambiguación del sentido de las palabras y resolución de anáforas; Semántica, discurso y diálogo. Parte II: traducción automática y multilingüismo; análisis de sentimientos, minerÃa de opiniones, subjetividad y redes sociales; clasificación y categorización de textos; extracción de información; y aplicaciones. . Nota de contenido: Adam Kilgarriff's Legacy to Computational Linguistics and Beyond -- General Formalisms -- A Roadmap towards Machine Intelligence -- Algebraic specification for interoperability between data formats: Application on Arabic lexical data -- Persianp: a Persian Text Processing Toolbox -- Embeddings, Language Modeling, and Sequence Labeling -- Generating Bags of Words from the Sums of their Word Embeddings -- New word analogy corpus for exploring embeddings of Czech words -- Using embedding models for lexical categorization in morphologically rich languages -- A new language model based on possibility theory -- Combining Discrete and Neural Features for Sequence Labeling -- New Recurrent Neural Network Variants for Sequence Labeling -- Lexical Resources and Terminology Extraction -- Mining the Web for Collocations: IR Models of Term Associations -- A Continuum-based Model of Lexical Acquisition -- DESCRIPTION OF TURKISH PARAPHRASE CORPUS STRUCTURE AND GENERATION METHOD -- Extracting Terminological Relationships from Historical Patterns of Social Media Terms -- Adaptation of cross-lingual transfer methods for the building of medical terminology in Ukrainian -- Adaptation of a term extractor to Arabic specialised texts: first experiments and limits -- Morphology and Part-of-Speech Tagging -- Corpus Frequency and Affix Ordering in Turkish -- Pluralising Nouns in isiZulu and Related Languages -- Morphological Analysis of Urdu Verbs -- Stemming and Segmentation for Classical Tibetan -- Part of Speech Tagging for Polish: State of the Art and Future Perspectives -- Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets -- Part-of-Speech Tagging for Code mixed English-Telugu Social media data -- Syntax and Chunking -- Analysis of Word Order in Multiple Treebanks -- A Framework for Language Resource Construction and Syntactic Analysis: Case of Arabic -- Enhancing Neural Network based Dependency Parsing Using Morphological Information for Hindi -- Construction Grammar based Annotation Framework for parsing Tamil -- Comparative Error Analysis Of Parser Outputs On Telugu Dependency Treebank Data -- Gut, Besser, Chunker – Selecting the best models for text chunking with voting -- Named Entity Recognition -- A Deep Learning Solution to Named Entity Recognition -- Deep Learning Approach for Arabic Named Entity Recognition -- Hybrid Feature Selection Approach for Arabic Named Entity Recognition -- Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA) -- Word Sense Disambiguation and Anaphora Resolution -- Word Sense Disambiguation Using Swarm Intelligence: A Bee Colony Optimization Approach -- Verb Sense Annotation For Turkish PropBank via Crowdsourcing -- Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR -- Arabic Anaphora resolution using Markov decision process -- Arabic Pronominal Anaphora Resolution Based on New Set of Features -- Semantics, Discourse, and Dialog -- GpSense: A GPU-friendly method for common-sense subgraph matching in massively parallel architectures -- Parameters driving effectiveness of LSA on topic segmentation -- A New Russian Paraphrase Corpus. Paraphrase Identification and Classification Based on Different Prediction Models -- Constructing A Turkish Corpus for Paraphrase Identification and Semantic Similarity -- Evaluation of Semantic Relatedness Measures for Turkish Language -- Using sentence semantic similarity to improve LMF standardized Arabic dictionary quality -- Multiword Expressions (MWE) for Mizo Language: Literature Survey -- Classification of Textual Genres using Discourse Information -- Features for discourse-new referent detection in Russian -- A Karaka Dependency based Dialog Act Tagging for Telugu using Combination of LMs and HMM. Tipo de medio : Computadora Summary : The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff's Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part I [documento electrónico] / Gelbukh, Alexander, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXXI, 678 p. 115 ilustraciones.
ISBN : 978-3-319-75477-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento del lenguaje natural (Informática) LigüÃstica computacional Procesamiento de datos Software de la aplicacion Inteligencia artificial Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 9623 + 9624 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2016 que tuvo lugar en Konya, TurquÃa, en abril de 2016. El total de 89 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre 298 presentaciones. El libro también contiene 4 artÃculos invitados y un artÃculo conmemorativo sobre el legado de Adam Kilgarriff a la lingüÃstica computacional. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: En memoria de Adam Kilgarriff; formalismos generales; incrustaciones, modelado de lenguaje y etiquetado de secuencias; recursos léxicos y extracción de terminologÃa; morfologÃa y etiquetado de partes del discurso; sintaxis y fragmentación; reconocimiento de entidad nombrada; desambiguación del sentido de las palabras y resolución de anáforas; Semántica, discurso y diálogo. Parte II: traducción automática y multilingüismo; análisis de sentimientos, minerÃa de opiniones, subjetividad y redes sociales; clasificación y categorización de textos; extracción de información; y aplicaciones. . Nota de contenido: Adam Kilgarriff's Legacy to Computational Linguistics and Beyond -- General Formalisms -- A Roadmap towards Machine Intelligence -- Algebraic specification for interoperability between data formats: Application on Arabic lexical data -- Persianp: a Persian Text Processing Toolbox -- Embeddings, Language Modeling, and Sequence Labeling -- Generating Bags of Words from the Sums of their Word Embeddings -- New word analogy corpus for exploring embeddings of Czech words -- Using embedding models for lexical categorization in morphologically rich languages -- A new language model based on possibility theory -- Combining Discrete and Neural Features for Sequence Labeling -- New Recurrent Neural Network Variants for Sequence Labeling -- Lexical Resources and Terminology Extraction -- Mining the Web for Collocations: IR Models of Term Associations -- A Continuum-based Model of Lexical Acquisition -- DESCRIPTION OF TURKISH PARAPHRASE CORPUS STRUCTURE AND GENERATION METHOD -- Extracting Terminological Relationships from Historical Patterns of Social Media Terms -- Adaptation of cross-lingual transfer methods for the building of medical terminology in Ukrainian -- Adaptation of a term extractor to Arabic specialised texts: first experiments and limits -- Morphology and Part-of-Speech Tagging -- Corpus Frequency and Affix Ordering in Turkish -- Pluralising Nouns in isiZulu and Related Languages -- Morphological Analysis of Urdu Verbs -- Stemming and Segmentation for Classical Tibetan -- Part of Speech Tagging for Polish: State of the Art and Future Perspectives -- Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets -- Part-of-Speech Tagging for Code mixed English-Telugu Social media data -- Syntax and Chunking -- Analysis of Word Order in Multiple Treebanks -- A Framework for Language Resource Construction and Syntactic Analysis: Case of Arabic -- Enhancing Neural Network based Dependency Parsing Using Morphological Information for Hindi -- Construction Grammar based Annotation Framework for parsing Tamil -- Comparative Error Analysis Of Parser Outputs On Telugu Dependency Treebank Data -- Gut, Besser, Chunker – Selecting the best models for text chunking with voting -- Named Entity Recognition -- A Deep Learning Solution to Named Entity Recognition -- Deep Learning Approach for Arabic Named Entity Recognition -- Hybrid Feature Selection Approach for Arabic Named Entity Recognition -- Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA) -- Word Sense Disambiguation and Anaphora Resolution -- Word Sense Disambiguation Using Swarm Intelligence: A Bee Colony Optimization Approach -- Verb Sense Annotation For Turkish PropBank via Crowdsourcing -- Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR -- Arabic Anaphora resolution using Markov decision process -- Arabic Pronominal Anaphora Resolution Based on New Set of Features -- Semantics, Discourse, and Dialog -- GpSense: A GPU-friendly method for common-sense subgraph matching in massively parallel architectures -- Parameters driving effectiveness of LSA on topic segmentation -- A New Russian Paraphrase Corpus. Paraphrase Identification and Classification Based on Different Prediction Models -- Constructing A Turkish Corpus for Paraphrase Identification and Semantic Similarity -- Evaluation of Semantic Relatedness Measures for Turkish Language -- Using sentence semantic similarity to improve LMF standardized Arabic dictionary quality -- Multiword Expressions (MWE) for Mizo Language: Literature Survey -- Classification of Textual Genres using Discourse Information -- Features for discourse-new referent detection in Russian -- A Karaka Dependency based Dialog Act Tagging for Telugu using Combination of LMs and HMM. Tipo de medio : Computadora Summary : The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff's Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part II / Gelbukh, Alexander
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TÃtulo : 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part II Tipo de documento: documento electrónico Autores: Gelbukh, Alexander, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XXXI, 632 p. 97 ilustraciones ISBN/ISSN/DL: 978-3-319-75487-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento del lenguaje natural (Informática) LigüÃstica computacional Procesamiento de datos Software de la aplicacion Inteligencia artificial Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 9623 + 9624 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2016 que tuvo lugar en Konya, TurquÃa, en abril de 2016. El total de 89 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre 298 presentaciones. El libro también contiene 4 artÃculos invitados y un artÃculo conmemorativo sobre el legado de Adam Kilgarriff a la lingüÃstica computacional. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: En memoria de Adam Kilgarriff; formalismos generales; incrustaciones, modelado de lenguaje y etiquetado de secuencias; recursos léxicos y extracción de terminologÃa; morfologÃa y etiquetado de partes del discurso; sintaxis y fragmentación; reconocimiento de entidad nombrada; desambiguación del sentido de las palabras y resolución de anáforas; Semántica, discurso y diálogo. Parte II: traducción automática y multilingüismo; análisis de sentimientos, minerÃa de opiniones, subjetividad y redes sociales; clasificación y categorización de textos; extracción de información; y aplicaciones. . Nota de contenido: Machine Translation and Multilingualism -- Enabling Medical Translation for Low-Resource Languages -- Combining Phrase and Neural-based Machine Translation: what worked and did not -- Combining machine translated sentence chunks from multiple MT systems -- Forest to String Based Statistical Machine Translation with Hybrid Word Alignments -- Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space -- Fast-Syntax-Matching-based Japanese-Chinese Limited Machine Translation -- A Classifier-based Preordering Approach for English-Vietnamese Statistical Machine Translation -- Quality Estimation for English-Hungarian Machine Translation Systems with Optimized Semantic Features -- Genetic-based decoder for statistical machine translation -- Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations -- Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation -- A Parallel Corpus of Translationese -- A Low Dimensionality Representation for Language Variety Identification -- Sentiment Analysis, Opinion Mining, Subjectivity, and Social Media -- Towards Empathetic Human-Robot Interactions -- Extracting Aspect Specific Sentiment Expressions implying Negative Opinions -- Aspect Terms Extraction of Arabic Dialects for Opinion Mining Using Conditional Random Fields -- Large Scale Authorship Attribution of Online Reviews -- Discovering Correspondence of Sentiment Words and Aspects -- Aspect Based Sentiment Analysis: Category Detection and Sentiment Classifcation for Hindi -- A New Emotional Vector Representation For Sentiment Analysis -- Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons -- A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter -- Determining sentiment in citation text and analyzing its impact on the proposed ranking index -- Combining Lexical Features and a Supervised Approach for Arabic Sentiment Analysis -- Sentiment analysis in Arabic Twitter posts using supervised methods with combined features -- Interactions between Term Weighting and Feature Selection Methods for Sentiment Analysis of Turkish Reviews -- Developing a concept-level knowledge base for sentiment analysis in Singlish -- Using syntactic and semantic features for classifying modal values in the Portuguese language -- Detecting the Likely Causes behind the Emotion Spikes of Influential Twitter Users -- Age Identification of Twitter Users: Classification Methods and Sociolinguistic Analysis -- Mining of Social Networks from Literary Texts of Resource Poor Languages -- Collecting and Annotating Indian Social Media Code-Mixed Corpora -- Turkish Normalization Lexicon for Social Media -- Text Classification and Categorization -- Introducing Semantics in Short Text Classification -- Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification -- Deep Neural Networks for Czech Multi-label Document Classification -- Turkish Document Classification with Coarse-grained Semantic Matrix -- Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries -- Information Extraction -- Identity and Granularity of Events in Text -- An informativeness approach to Open IE evaluation -- End-to-End Relation Extraction using Markov Logic Networks -- Knowledge Extraction with NooJ Using a syntactico-Semantic Approach for the Arabic Utterances Understanding -- Adapting TimeML to Basque: Event annotation -- Applications -- Deeper summarisation: the second time around -- Tracing Language Variation for Romanian -- Aoidos: A System for the Automatic Scansion of Poetry Written in Portuguese. Tipo de medio : Computadora Summary : The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff's Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 17th International Conference, CICLing 2016, Konya, Turkey, April 3–9, 2016, Revised Selected Papers, Part II [documento electrónico] / Gelbukh, Alexander, . - 1 ed. . - [s.l.] : Springer, 2018 . - XXXI, 632 p. 97 ilustraciones.
ISBN : 978-3-319-75487-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento del lenguaje natural (Informática) LigüÃstica computacional Procesamiento de datos Software de la aplicacion Inteligencia artificial Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 9623 + 9624 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2016 que tuvo lugar en Konya, TurquÃa, en abril de 2016. El total de 89 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre 298 presentaciones. El libro también contiene 4 artÃculos invitados y un artÃculo conmemorativo sobre el legado de Adam Kilgarriff a la lingüÃstica computacional. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: En memoria de Adam Kilgarriff; formalismos generales; incrustaciones, modelado de lenguaje y etiquetado de secuencias; recursos léxicos y extracción de terminologÃa; morfologÃa y etiquetado de partes del discurso; sintaxis y fragmentación; reconocimiento de entidad nombrada; desambiguación del sentido de las palabras y resolución de anáforas; Semántica, discurso y diálogo. Parte II: traducción automática y multilingüismo; análisis de sentimientos, minerÃa de opiniones, subjetividad y redes sociales; clasificación y categorización de textos; extracción de información; y aplicaciones. . Nota de contenido: Machine Translation and Multilingualism -- Enabling Medical Translation for Low-Resource Languages -- Combining Phrase and Neural-based Machine Translation: what worked and did not -- Combining machine translated sentence chunks from multiple MT systems -- Forest to String Based Statistical Machine Translation with Hybrid Word Alignments -- Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space -- Fast-Syntax-Matching-based Japanese-Chinese Limited Machine Translation -- A Classifier-based Preordering Approach for English-Vietnamese Statistical Machine Translation -- Quality Estimation for English-Hungarian Machine Translation Systems with Optimized Semantic Features -- Genetic-based decoder for statistical machine translation -- Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations -- Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation -- A Parallel Corpus of Translationese -- A Low Dimensionality Representation for Language Variety Identification -- Sentiment Analysis, Opinion Mining, Subjectivity, and Social Media -- Towards Empathetic Human-Robot Interactions -- Extracting Aspect Specific Sentiment Expressions implying Negative Opinions -- Aspect Terms Extraction of Arabic Dialects for Opinion Mining Using Conditional Random Fields -- Large Scale Authorship Attribution of Online Reviews -- Discovering Correspondence of Sentiment Words and Aspects -- Aspect Based Sentiment Analysis: Category Detection and Sentiment Classifcation for Hindi -- A New Emotional Vector Representation For Sentiment Analysis -- Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons -- A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter -- Determining sentiment in citation text and analyzing its impact on the proposed ranking index -- Combining Lexical Features and a Supervised Approach for Arabic Sentiment Analysis -- Sentiment analysis in Arabic Twitter posts using supervised methods with combined features -- Interactions between Term Weighting and Feature Selection Methods for Sentiment Analysis of Turkish Reviews -- Developing a concept-level knowledge base for sentiment analysis in Singlish -- Using syntactic and semantic features for classifying modal values in the Portuguese language -- Detecting the Likely Causes behind the Emotion Spikes of Influential Twitter Users -- Age Identification of Twitter Users: Classification Methods and Sociolinguistic Analysis -- Mining of Social Networks from Literary Texts of Resource Poor Languages -- Collecting and Annotating Indian Social Media Code-Mixed Corpora -- Turkish Normalization Lexicon for Social Media -- Text Classification and Categorization -- Introducing Semantics in Short Text Classification -- Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification -- Deep Neural Networks for Czech Multi-label Document Classification -- Turkish Document Classification with Coarse-grained Semantic Matrix -- Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries -- Information Extraction -- Identity and Granularity of Events in Text -- An informativeness approach to Open IE evaluation -- End-to-End Relation Extraction using Markov Logic Networks -- Knowledge Extraction with NooJ Using a syntactico-Semantic Approach for the Arabic Utterances Understanding -- Adapting TimeML to Basque: Event annotation -- Applications -- Deeper summarisation: the second time around -- Tracing Language Variation for Romanian -- Aoidos: A System for the Automatic Scansion of Poetry Written in Portuguese. Tipo de medio : Computadora Summary : The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff's Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I / Gelbukh, Alexander
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TÃtulo : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I Tipo de documento: documento electrónico Autores: Gelbukh, Alexander, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIX, 608 p. 119 ilustraciones ISBN/ISSN/DL: 978-3-319-77113-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento del lenguaje natural (Informática) Inteligencia artificial Procesamiento de datos Software de la aplicacion LigüÃstica computacional Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 10761 + 10762 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2017 que tuvo lugar en Budapest, HungrÃa, en abril de 2017. El total de 90 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre numerosas presentaciones. Además, las actas contienen 4 ponencias invitadas. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: general; morfologÃa y segmentación de textos; sintaxis y análisis; desambiguación del sentido de las palabras; resolución de referencia y correferencia; reconocimiento de entidad nombrada; semántica y similitud de textos; extracción de información; reconocimiento de voz; Aplicaciones a la lingüÃstica y las humanidades. Parte II: análisis de sentimiento; minerÃa de opinión; perfil de autor y atribución de autorÃa; análisis de redes sociales; máquina traductora; resumen de texto; recuperación de información y clasificación de textos; aplicaciones prácticas. . Nota de contenido: General -- Overview of Character-Based Models for Natural Language Processing -- Pooling Word Vector Representations across Models -- Strategies to select examples for Active Learning with Conditional Random Fields -- Label-Dependencies Aware Recurrent Neural Networks -- Universal Computational Formalisms and Developer Environment for Rule-Based NLP -- Morphology and Text Segmentation -- Several ways to use the lingwarium.org online MT collaborative platform to develop rich morphological analyzers -- A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation -- Building Morphological Chains for Agglutinative Languages -- Joint POS Tagging and Stemming for Agglutinative Languages -- Hungarian particle verbs in a corpus-driven approach -- HANS: A Service-Oriented Framework for Chinese Language Processing -- Syntax and Parsing -- Learning to Rank for Coordination Detection -- Classifier Ensemble Approach to Learning in Dependency Parsing -- Evaluation and enrichment of Stanford Parser using an Arabic Property Grammar -- Word Sense Disambiguation -- SenseDependency-Rank: A Word Sense Disambiguation Method Based on Random Walks and Dependency Trees -- Domain Adaptation for Word Sense Disambiguation using Word Embeddings -- Reference and Coreference Resolution -- "Show me the cup": Reference with Continuous Representations -- Improved Best-First Clustering for Coreference Resolution in Indian Classical Music Forums -- A robust Co-reference Chain builder for Tamil -- Named Entity Recognition -- Structured Named Entity Recognition by Cascading CRFs -- Arabic Named Entity Recognition : A Bidirectional GRU-CRF Approach -- Named Entity Recognition for Amharic Using Stack-Based Deep Learning -- Semantics and Text Similarity -- Idioms: Humans or machines, it's all about context -- Dialogue act taxonomy interoperability using a meta-model -- Textual Entailment Using Machine Translation Evaluation Metrics -- Supervised Learning of Entity Disambiguation Models by Negative Sample Selection -- The Enrichment of Arabic WordNet Antonym Relations -- Designing An Ontology for Physical Exercise Actions -- Visualizing Textbook Concepts: Beyond Word Co-occurrences -- Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features -- Text similarity function based on word embeddings for short text analysis -- Information Extraction -- Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences -- Classifier-based Pattern Selection Approach for Relation Instance Extraction -- An Ensemble Architecture for Linked Data Lexicalization -- A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion -- Exploring Linguistic and Graph based Features for the Automatic Classification and Extraction of Adverse Drug Effects -- Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades -- Semi-supervised Relation Extraction from Monolingual Dictionary for Russian WordNet -- Speech Recognition -- ASR Hypothesis Rerarnking using Prior-informed Restricted Boltzmann Machine -- A Comparative Analysis of Speech Recognition Systems for the Tatar Language -- Applications to Linguistics and the Humanities -- Interactive Data Analytics for the Humanities -- Language Technology for Digital Linguistics: Turning the Linguistic Survey of India Into a Rich Source of Linguistic Information -- Classifying World Englishes from a lexical perspective: A corpus-based approach -- Towards a Map of the Syntactic Similarity of Languages -- Romanian Word Production: An Orthographic Approach Based on Sequence Labeling. . Tipo de medio : Computadora Summary : The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part I [documento electrónico] / Gelbukh, Alexander, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIX, 608 p. 119 ilustraciones.
ISBN : 978-3-319-77113-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento del lenguaje natural (Informática) Inteligencia artificial Procesamiento de datos Software de la aplicacion LigüÃstica computacional Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 10761 + 10762 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2017 que tuvo lugar en Budapest, HungrÃa, en abril de 2017. El total de 90 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre numerosas presentaciones. Además, las actas contienen 4 ponencias invitadas. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: general; morfologÃa y segmentación de textos; sintaxis y análisis; desambiguación del sentido de las palabras; resolución de referencia y correferencia; reconocimiento de entidad nombrada; semántica y similitud de textos; extracción de información; reconocimiento de voz; Aplicaciones a la lingüÃstica y las humanidades. Parte II: análisis de sentimiento; minerÃa de opinión; perfil de autor y atribución de autorÃa; análisis de redes sociales; máquina traductora; resumen de texto; recuperación de información y clasificación de textos; aplicaciones prácticas. . Nota de contenido: General -- Overview of Character-Based Models for Natural Language Processing -- Pooling Word Vector Representations across Models -- Strategies to select examples for Active Learning with Conditional Random Fields -- Label-Dependencies Aware Recurrent Neural Networks -- Universal Computational Formalisms and Developer Environment for Rule-Based NLP -- Morphology and Text Segmentation -- Several ways to use the lingwarium.org online MT collaborative platform to develop rich morphological analyzers -- A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation -- Building Morphological Chains for Agglutinative Languages -- Joint POS Tagging and Stemming for Agglutinative Languages -- Hungarian particle verbs in a corpus-driven approach -- HANS: A Service-Oriented Framework for Chinese Language Processing -- Syntax and Parsing -- Learning to Rank for Coordination Detection -- Classifier Ensemble Approach to Learning in Dependency Parsing -- Evaluation and enrichment of Stanford Parser using an Arabic Property Grammar -- Word Sense Disambiguation -- SenseDependency-Rank: A Word Sense Disambiguation Method Based on Random Walks and Dependency Trees -- Domain Adaptation for Word Sense Disambiguation using Word Embeddings -- Reference and Coreference Resolution -- "Show me the cup": Reference with Continuous Representations -- Improved Best-First Clustering for Coreference Resolution in Indian Classical Music Forums -- A robust Co-reference Chain builder for Tamil -- Named Entity Recognition -- Structured Named Entity Recognition by Cascading CRFs -- Arabic Named Entity Recognition : A Bidirectional GRU-CRF Approach -- Named Entity Recognition for Amharic Using Stack-Based Deep Learning -- Semantics and Text Similarity -- Idioms: Humans or machines, it's all about context -- Dialogue act taxonomy interoperability using a meta-model -- Textual Entailment Using Machine Translation Evaluation Metrics -- Supervised Learning of Entity Disambiguation Models by Negative Sample Selection -- The Enrichment of Arabic WordNet Antonym Relations -- Designing An Ontology for Physical Exercise Actions -- Visualizing Textbook Concepts: Beyond Word Co-occurrences -- Matching, Re-ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features -- Text similarity function based on word embeddings for short text analysis -- Information Extraction -- Domain Specific Features Driven Information Extraction from Web Pages of Scientific Conferences -- Classifier-based Pattern Selection Approach for Relation Instance Extraction -- An Ensemble Architecture for Linked Data Lexicalization -- A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion -- Exploring Linguistic and Graph based Features for the Automatic Classification and Extraction of Adverse Drug Effects -- Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades -- Semi-supervised Relation Extraction from Monolingual Dictionary for Russian WordNet -- Speech Recognition -- ASR Hypothesis Rerarnking using Prior-informed Restricted Boltzmann Machine -- A Comparative Analysis of Speech Recognition Systems for the Tatar Language -- Applications to Linguistics and the Humanities -- Interactive Data Analytics for the Humanities -- Language Technology for Digital Linguistics: Turning the Linguistic Survey of India Into a Rich Source of Linguistic Information -- Classifying World Englishes from a lexical perspective: A corpus-based approach -- Towards a Map of the Syntactic Similarity of Languages -- Romanian Word Production: An Orthographic Approach Based on Sequence Labeling. . Tipo de medio : Computadora Summary : The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II / Gelbukh, Alexander
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TÃtulo : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II Tipo de documento: documento electrónico Autores: Gelbukh, Alexander, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIX, 670 p. 139 ilustraciones ISBN/ISSN/DL: 978-3-319-77116-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento del lenguaje natural (Informática) Inteligencia artificial Procesamiento de datos Software de la aplicacion LigüÃstica computacional Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 10761 + 10762 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2017 que tuvo lugar en Budapest, HungrÃa, en abril de 2017. El total de 90 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre numerosas presentaciones. Además, las actas contienen 4 ponencias invitadas. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: general; morfologÃa y segmentación de textos; sintaxis y análisis; desambiguación del sentido de las palabras; resolución de referencia y correferencia; reconocimiento de entidad nombrada; semántica y similitud de textos; extracción de información; reconocimiento de voz; Aplicaciones a la lingüÃstica y las humanidades. Parte II: análisis de sentimiento; minerÃa de opinión; perfil de autor y atribución de autorÃa; análisis de redes sociales; máquina traductora; resumen de texto; recuperación de información y clasificación de textos; aplicaciones prácticas. . Nota de contenido: Sentiment Analysis -- A Comparison among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study -- BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection -- Leveraging Target-oriented Information for Stance Classification -- Sentiment Polarity Classification of Figurative Language: Exploring the Role of Irony-Aware and Multifaceted Affect Features -- Sarcasm Annotation and Detection in Tweets -- Modeling the Impact of Modifiers on Emotional Statements -- CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language -- Emotional Tone Detection in Arabic Tweets -- Morphology based Arabic Sentiment Analysis of Book Reviews -- Adaptation of Sentiment Analysis Techniques to Persian Language -- Verb-mediated Composition of Attitude Relations Comprising Reader and Writer Perspective -- Customer Churn Prediction using Sentiment Analysis and Text Classification of VOC.-Benchmarking Multimodal Sentiment Analysis -- Machine learning approaches for speech emotion recognition: Classic and novel advances -- Opinion Mining -- Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model -- A comparative study of target-based and entity-based opinion extraction -- Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction -- Comment relevance classification in Facebook -- Detecting Sockpuppets in Deceptive Opinion Spam -- Author Profiling and Authorship Attribution -- Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One's Words -- Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing -- Author Identification using Latent Dirichlet Allocation -- Personality Recognition using Convolutional Neural Networks -- Character-Level Dialect Identi_cation in Arabic Using Long Short-Term Memory -- A Text Semantic Similarity Approach for Arabic Paraphrase Detection -- Social Network Analysis -- Curator: Enhancing Micro-blogs Ranking by Exploiting User's Context -- A Multi-view Clustering Model for Event Detection in Twitter -- Monitoring Geographical Entities with Temporal Awareness in Tweets -- Just the Facts: Winnowing Microblogs for Newsworthy Statements using Non-Lexical Features -- Impact Of Content Features For Automatic Online Abuse Detection -- Detecting Aggressive Behavior in Discussion Threads Using Text Mining -- Machine Translation -- Combining Machine Translation Systems with Quality Estimation -- Evaluation of Neural Machine Translation for Highly Inflected and Small Languages -- Towards Translating Mixed-Code Comments from Social Media -- Multiple System Combination for PersoArabic-Latin Transliteration -- Building a Location Dependent Dictionary for Speech Translation Systems -- Text Summarization -- Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data -- Optimization in Extractive Summarization Processes through Automatic Classification -- Summarizing Weibo with Topics Compression -- Timeline Generation based on a Two-stage Event-time Anchoring Model -- Information Retrieval and Text Classification -- Efficient Semantic Search over Structured Web Data: A GPU Approach -- Efficient Association Rules Selection for Automatic Query Expansion -- Text-to-concept: a semantic indexing framework for Arabic News videos -- Approximating Multi-Class Text Classification via Automatic Generation of Training Examples -- Practical Applications -- Generating Appealing Brand Names -- Radiological text simplification using a general knowledge base -- Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals -- Automatic Detection of Uncertain Statements in the Financial Domain -- Automatic Question Generation from Passages. Tipo de medio : Computadora Summary : The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II [documento electrónico] / Gelbukh, Alexander, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIX, 670 p. 139 ilustraciones.
ISBN : 978-3-319-77116-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento del lenguaje natural (Informática) Inteligencia artificial Procesamiento de datos Software de la aplicacion LigüÃstica computacional Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.35 Resumen: El conjunto de dos volúmenes LNCS 10761 + 10762 constituye artÃculos seleccionados revisados ​​de la conferencia CICLing 2017 que tuvo lugar en Budapest, HungrÃa, en abril de 2017. El total de 90 artÃculos presentados en los dos volúmenes fue cuidadosamente revisado y seleccionado entre numerosas presentaciones. Además, las actas contienen 4 ponencias invitadas. Los artÃculos están organizados en las siguientes secciones temáticas: Parte I: general; morfologÃa y segmentación de textos; sintaxis y análisis; desambiguación del sentido de las palabras; resolución de referencia y correferencia; reconocimiento de entidad nombrada; semántica y similitud de textos; extracción de información; reconocimiento de voz; Aplicaciones a la lingüÃstica y las humanidades. Parte II: análisis de sentimiento; minerÃa de opinión; perfil de autor y atribución de autorÃa; análisis de redes sociales; máquina traductora; resumen de texto; recuperación de información y clasificación de textos; aplicaciones prácticas. . Nota de contenido: Sentiment Analysis -- A Comparison among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study -- BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection -- Leveraging Target-oriented Information for Stance Classification -- Sentiment Polarity Classification of Figurative Language: Exploring the Role of Irony-Aware and Multifaceted Affect Features -- Sarcasm Annotation and Detection in Tweets -- Modeling the Impact of Modifiers on Emotional Statements -- CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language -- Emotional Tone Detection in Arabic Tweets -- Morphology based Arabic Sentiment Analysis of Book Reviews -- Adaptation of Sentiment Analysis Techniques to Persian Language -- Verb-mediated Composition of Attitude Relations Comprising Reader and Writer Perspective -- Customer Churn Prediction using Sentiment Analysis and Text Classification of VOC.-Benchmarking Multimodal Sentiment Analysis -- Machine learning approaches for speech emotion recognition: Classic and novel advances -- Opinion Mining -- Mining Aspect-Specific Opinions from Online Reviews Using a Latent Embedding Structured Topic Model -- A comparative study of target-based and entity-based opinion extraction -- Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction -- Comment relevance classification in Facebook -- Detecting Sockpuppets in Deceptive Opinion Spam -- Author Profiling and Authorship Attribution -- Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One's Words -- Improving Cross-Topic Authorship Attribution: The Role of Pre-Processing -- Author Identification using Latent Dirichlet Allocation -- Personality Recognition using Convolutional Neural Networks -- Character-Level Dialect Identi_cation in Arabic Using Long Short-Term Memory -- A Text Semantic Similarity Approach for Arabic Paraphrase Detection -- Social Network Analysis -- Curator: Enhancing Micro-blogs Ranking by Exploiting User's Context -- A Multi-view Clustering Model for Event Detection in Twitter -- Monitoring Geographical Entities with Temporal Awareness in Tweets -- Just the Facts: Winnowing Microblogs for Newsworthy Statements using Non-Lexical Features -- Impact Of Content Features For Automatic Online Abuse Detection -- Detecting Aggressive Behavior in Discussion Threads Using Text Mining -- Machine Translation -- Combining Machine Translation Systems with Quality Estimation -- Evaluation of Neural Machine Translation for Highly Inflected and Small Languages -- Towards Translating Mixed-Code Comments from Social Media -- Multiple System Combination for PersoArabic-Latin Transliteration -- Building a Location Dependent Dictionary for Speech Translation Systems -- Text Summarization -- Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data -- Optimization in Extractive Summarization Processes through Automatic Classification -- Summarizing Weibo with Topics Compression -- Timeline Generation based on a Two-stage Event-time Anchoring Model -- Information Retrieval and Text Classification -- Efficient Semantic Search over Structured Web Data: A GPU Approach -- Efficient Association Rules Selection for Automatic Query Expansion -- Text-to-concept: a semantic indexing framework for Arabic News videos -- Approximating Multi-Class Text Classification via Automatic Generation of Training Examples -- Practical Applications -- Generating Appealing Brand Names -- Radiological text simplification using a general knowledge base -- Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals -- Automatic Detection of Uncertain Statements in the Financial Domain -- Automatic Question Generation from Passages. Tipo de medio : Computadora Summary : The two-volume set LNCS 10761 + 10762 constitutes revised selected papers from the CICLing 2017 conference which took place in Budapest, Hungary, in April 2017. The total of 90 papers presented in the two volumes was carefully reviewed and selected from numerous submissions. In addition, the proceedings contain 4 invited papers. The papers are organized in the following topical sections: Part I: general; morphology and text segmentation; syntax and parsing; word sense disambiguation; reference and coreference resolution; named entity recognition; semantics and text similarity; information extraction; speech recognition; applications to linguistics and the humanities. Part II: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization; information retrieval and text classification; practical applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I / Batyrshin, Ildar ; Gelbukh, Alexander ; Sidorov, Grigori
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TÃtulo : 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Batyrshin, Ildar, ; Gelbukh, Alexander, ; Sidorov, Grigori, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXIV, 417 p. 168 ilustraciones, 131 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-89817-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial IngenierÃa de software Visión por computador Ciencias de la Computación Procesamiento de datos Software de la aplicacion TeorÃa de la Computación MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13067 y 13068 constituye las actas de la XX Conferencia Internacional Mexicana sobre Inteligencia Artificial, MICAI 2021, celebrada en la Ciudad de México, México, en octubre de 2021. El total de 58 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 129 presentaciones. El primer volumen, Avances en Inteligencia Computacional, contiene 30 artÃculos estructurados en tres secciones: – Aprendizaje automático y profundo – Procesamiento de imágenes y reconocimiento de patrones – Algoritmos evolutivos y metaheurÃsticos El segundo volumen, Avances en Soft Computing, contiene 28 artÃculos estructurados en dos secciones: – Procesamiento del Lenguaje Natural – Aplicaciones Inteligentes y Robótica. Nota de contenido: Machine and Deep Learning -- Image Processing and Pattern Recognition -- Evolutionary and Metaheuristic Algorithms -- Natural Language Processing -- Intelligent Applications and Robotics. Tipo de medio : Computadora Summary : The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021. The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: – Machine and Deep Learning – Image Processing and Pattern Recognition – Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: – Natural Language Processing – Intelligent Applications and Robotics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part I [documento electrónico] / Batyrshin, Ildar, ; Gelbukh, Alexander, ; Sidorov, Grigori, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXIV, 417 p. 168 ilustraciones, 131 ilustraciones en color.
ISBN : 978-3-030-89817-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial IngenierÃa de software Visión por computador Ciencias de la Computación Procesamiento de datos Software de la aplicacion TeorÃa de la Computación MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13067 y 13068 constituye las actas de la XX Conferencia Internacional Mexicana sobre Inteligencia Artificial, MICAI 2021, celebrada en la Ciudad de México, México, en octubre de 2021. El total de 58 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 129 presentaciones. El primer volumen, Avances en Inteligencia Computacional, contiene 30 artÃculos estructurados en tres secciones: – Aprendizaje automático y profundo – Procesamiento de imágenes y reconocimiento de patrones – Algoritmos evolutivos y metaheurÃsticos El segundo volumen, Avances en Soft Computing, contiene 28 artÃculos estructurados en dos secciones: – Procesamiento del Lenguaje Natural – Aplicaciones Inteligentes y Robótica. Nota de contenido: Machine and Deep Learning -- Image Processing and Pattern Recognition -- Evolutionary and Metaheuristic Algorithms -- Natural Language Processing -- Intelligent Applications and Robotics. Tipo de medio : Computadora Summary : The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021. The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: – Machine and Deep Learning – Image Processing and Pattern Recognition – Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: – Natural Language Processing – Intelligent Applications and Robotics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, Mexico City, Mexico, October 25–30, 2021, Proceedings, Part II / Batyrshin, Ildar ; Gelbukh, Alexander ; Sidorov, Grigori
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