26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbr¼cken, Germany, June 23Ѐ“25, 2021, Proceedings / M©tais, Elisabeth ; Meziane, Farid ; Horacek, Helmut ; Kapetanios, Epaminondas  

Público ISBD Ningún comentario para este registro. Título : 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbr¼cken, Germany, June 23Ѐ“25, 2021, Proceedings Tipo de documento: documento electrónico Autores: M©tais, Elisabeth, ; Meziane, Farid, ; Horacek, Helmut, ; Kapetanios, Epaminondas, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIV, 386 p. 64 ilustraciones, 49 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-80599-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento del lenguaje natural (Informática)  Software de la aplicacion  Aprendizaje automático  Gestión de base de datos  Procesamiento de datos  Sistemas de almacenamiento y recuperación de información  Procesamiento del lenguaje natural (PNL)  Aplicaciones informáticas y de sistemas de información  Minería de datos y descubrimiento de conocimientos  Almacenamiento y recuperación de información Índice Dewey: 006.35 Procesamiento del lenguaje natural Resumen: Este libro constituye las actas arbitradas de la 26.ª Conferencia Internacional sobre Aplicaciones del Lenguaje Natural a los Sistemas de Información, NLDB 2021, celebrada en línea en julio de 2021. Los 19 artículos completos y 14 artículos breves fueron cuidadosamente revisados ​​y seleccionados entre 82 presentaciones. Los artículos están organizados en las siguientes secciones temáticas: papel del aprendizaje; enfoques metodológicos; relaciones semánticas; clasificación; análisis de los sentimientos; medios de comunicación social; vincular documentos; multimodalidad; aplicaciones. Nota de contenido: The Role of Learning -- You can't Learn what's not there: Self Supervised Learning and the Poverty of the Stimulus -- Scaling Federated Learning for Fine-tuning of Large Language Models -- Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents -- Methodological Approaches -- Word Embedding-based Topic Similarity Measures -- Mixture Variational Autoencoder of Boltzmann Machines for Text Processing -- A Modular Approach for Romanian-English Speech Translation -- NumER: A Fine-grained Numeral Entity Recognition Dataset -- Cross-Domain Transfer of Generative Explanations using Text-to-Text Models -- Semantic Relations -- Virus Causes Flu: Identifying Causality in the Biomedical Domain using an Ensemble Approach with Target-specific Semantic Embeddings -- Multilevel Entity-Informed Business Relation Extraction -- The Importance of Character-Level Information in an Event Detection Model -- Classification -- Sequence-based Word Embeddings for Effective TextClassification -- BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages -- Multiword Expression Features for Automatic Hate Speech Detection -- Semantic Text Segment Classification of Structured Technical Content -- On the Generalization of Figurative Language Detection: the Case of Irony and Sarcasm -- Extracting Facts from Case Rulings through Paragraph Segmentation of Judicial Decisions -- Detection of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages -- Sentiment Analysis -- Multi-Step Transfer Learning for Sentiment Analysis -- Improving Sentiment Classification in Low Resource Bengali Language Utilizing Cross-lingual Self-supervised Learning -- Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting -- Exploring Summarization to Enhance Headline Stance Detection -- Predicting Vaccine Hesitancy and Vaccine Sentiment using Topic Modeling and Evolutionary Optimization -- Sentiment Progression based Searching and Indexing of Literary Textual Artefacts -- Social Media -- Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection -- Authorship Attribution using Capsule-based Fusion Approach -- On the Explainability of Automatic Predictions of Mental Disorders from Social Media Data -- Linking Documents -- Using Document Embeddings for Background Linking of News Articles -- Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context -- Multimodality -- Cross-Active Connection for Image-Text Multimodal Feature Fusion -- Profiling Fake News Spreaders: Personality and Visual Information Matter 315 -- Applications -- Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling -- Automated Retrieval of Graphical User Interface Prototypes from Natural Language Requirements. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbr¼cken, Germany, June 23Ѐ“25, 2021, Proceedings [documento electrónico] / M©tais, Elisabeth, ; Meziane, Farid, ; Horacek, Helmut, ; Kapetanios, Epaminondas,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XIV, 386 p. 64 ilustraciones, 49 ilustraciones en color. ISBN : 978-3-030-80599-9 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Procesamiento del lenguaje natural (Informática)  Software de la aplicacion  Aprendizaje automático  Gestión de base de datos  Procesamiento de datos  Sistemas de almacenamiento y recuperación de información  Procesamiento del lenguaje natural (PNL)  Aplicaciones informáticas y de sistemas de información  Minería de datos y descubrimiento de conocimientos  Almacenamiento y recuperación de información Índice Dewey: 006.35 Procesamiento del lenguaje natural Resumen: Este libro constituye las actas arbitradas de la 26.ª Conferencia Internacional sobre Aplicaciones del Lenguaje Natural a los Sistemas de Información, NLDB 2021, celebrada en línea en julio de 2021. Los 19 artículos completos y 14 artículos breves fueron cuidadosamente revisados ​​y seleccionados entre 82 presentaciones. Los artículos están organizados en las siguientes secciones temáticas: papel del aprendizaje; enfoques metodológicos; relaciones semánticas; clasificación; análisis de los sentimientos; medios de comunicación social; vincular documentos; multimodalidad; aplicaciones. Nota de contenido: The Role of Learning -- You can't Learn what's not there: Self Supervised Learning and the Poverty of the Stimulus -- Scaling Federated Learning for Fine-tuning of Large Language Models -- Overcoming the Knowledge Bottleneck Using Lifelong Learning by Social Agents -- Methodological Approaches -- Word Embedding-based Topic Similarity Measures -- Mixture Variational Autoencoder of Boltzmann Machines for Text Processing -- A Modular Approach for Romanian-English Speech Translation -- NumER: A Fine-grained Numeral Entity Recognition Dataset -- Cross-Domain Transfer of Generative Explanations using Text-to-Text Models -- Semantic Relations -- Virus Causes Flu: Identifying Causality in the Biomedical Domain using an Ensemble Approach with Target-specific Semantic Embeddings -- Multilevel Entity-Informed Business Relation Extraction -- The Importance of Character-Level Information in an Event Detection Model -- Classification -- Sequence-based Word Embeddings for Effective TextClassification -- BERT-Capsule Model for Cyberbullying Detection in Code-Mixed Indian Languages -- Multiword Expression Features for Automatic Hate Speech Detection -- Semantic Text Segment Classification of Structured Technical Content -- On the Generalization of Figurative Language Detection: the Case of Irony and Sarcasm -- Extracting Facts from Case Rulings through Paragraph Segmentation of Judicial Decisions -- Detection of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages -- Sentiment Analysis -- Multi-Step Transfer Learning for Sentiment Analysis -- Improving Sentiment Classification in Low Resource Bengali Language Utilizing Cross-lingual Self-supervised Learning -- Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting -- Exploring Summarization to Enhance Headline Stance Detection -- Predicting Vaccine Hesitancy and Vaccine Sentiment using Topic Modeling and Evolutionary Optimization -- Sentiment Progression based Searching and Indexing of Literary Textual Artefacts -- Social Media -- Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection -- Authorship Attribution using Capsule-based Fusion Approach -- On the Explainability of Automatic Predictions of Mental Disorders from Social Media Data -- Linking Documents -- Using Document Embeddings for Background Linking of News Articles -- Let's Summarize Scientific Documents! A Clustering-based Approach via Citation Context -- Multimodality -- Cross-Active Connection for Image-Text Multimodal Feature Fusion -- Profiling Fake News Spreaders: Personality and Visual Information Matter 315 -- Applications -- Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling -- Automated Retrieval of Graphical User Interface Prototypes from Natural Language Requirements. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

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