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006 Ciencia de los computadores (Métodos especiales de computador)Documentos en la biblioteca con la clasificación 006.3 (1549)
Crear una solicitud de compra Refinar búsqueda10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I / Britto, André ; Valdivia Delgado, Karina
TÃtulo : 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Britto, André, ; Valdivia Delgado, Karina, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXIII, 546 p. 154 ilustraciones, 96 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-91702-9 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 MinerÃa de datos y descubrimiento de conocimientos Diseño y Análisis de Algoritmos Estructuras de datos y teorÃa de la información TeorÃa de la información IngenierÃa de software Matemáticas de la Computación Informática Algoritmo Estructuras de datos (Informática) Procesamiento de datos Matemáticas Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual. Nota de contenido: Agent and Multi-Agent Systems, Planning and Reinforcement Learning -- A Conversational Agent to Support Hospital Bed Allocation -- A Protocol for Argumentation-based Persuasive Negotiation Dialogues -- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments -- Intelligent Agents for Observation and Containment of Malicious Targets Organizations -- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients -- On the impact of MDP design for Reinforcement Learning agents in Resource Management -- Slot Sharing Mechanism in Multi-Domain Dialogue Systems -- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization -- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem -- A Modified NSGA-DO for Solving Multiobjective Optimization Problems -- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning -- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems -- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem -- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization -- Improving a genetic clustering approach with a CVI-based objective function -- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control -- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator -- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices -- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data -- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework -- Knowledge Representation, Logic and Fuzzy Systems -- A Systematic Approach to Define Semantics for Prioritised Logic Programs -- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco -- ASPIC? and the Postulates of Non-Interference and Crash-Resistance -- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks -- Ontology based classification of electronic health records to support value-based health care -- Machine Learning and Data Mining -- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data -- A Comparative Study on Concept Drift Detectors for Regression -- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis -- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes -- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks -- Evaluating Clustering Meta-Features for Classifier Recommendation -- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification -- Interpreting classification models using feature importance based on marginal local effects -- On the generalizations of the Choquet integral for application in FRBCs -- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier -- Tactical Asset Allocation through Random Walk on Stock Network. Tipo de medio : Computadora Summary : The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I [documento electrónico] / Britto, André, ; Valdivia Delgado, Karina, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXIII, 546 p. 154 ilustraciones, 96 ilustraciones en color.
ISBN : 978-3-030-91702-9
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 MinerÃa de datos y descubrimiento de conocimientos Diseño y Análisis de Algoritmos Estructuras de datos y teorÃa de la información TeorÃa de la información IngenierÃa de software Matemáticas de la Computación Informática Algoritmo Estructuras de datos (Informática) Procesamiento de datos Matemáticas Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual. Nota de contenido: Agent and Multi-Agent Systems, Planning and Reinforcement Learning -- A Conversational Agent to Support Hospital Bed Allocation -- A Protocol for Argumentation-based Persuasive Negotiation Dialogues -- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments -- Intelligent Agents for Observation and Containment of Malicious Targets Organizations -- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients -- On the impact of MDP design for Reinforcement Learning agents in Resource Management -- Slot Sharing Mechanism in Multi-Domain Dialogue Systems -- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization -- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem -- A Modified NSGA-DO for Solving Multiobjective Optimization Problems -- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning -- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems -- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem -- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization -- Improving a genetic clustering approach with a CVI-based objective function -- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control -- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator -- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices -- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data -- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework -- Knowledge Representation, Logic and Fuzzy Systems -- A Systematic Approach to Define Semantics for Prioritised Logic Programs -- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco -- ASPIC? and the Postulates of Non-Interference and Crash-Resistance -- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks -- Ontology based classification of electronic health records to support value-based health care -- Machine Learning and Data Mining -- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data -- A Comparative Study on Concept Drift Detectors for Regression -- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis -- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes -- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks -- Evaluating Clustering Meta-Features for Classifier Recommendation -- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification -- Interpreting classification models using feature importance based on marginal local effects -- On the generalizations of the Choquet integral for application in FRBCs -- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier -- Tactical Asset Allocation through Random Walk on Stock Network. Tipo de medio : Computadora Summary : The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Britto, André, ; Valdivia Delgado, Karina, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXIV, 632 p. 17 ilustraciones ISBN/ISSN/DL: 978-3-030-91699-2 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: Ciencias sociales Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Visión Inteligencia artificial Procesamiento de datos Red informática IngenierÃa Informática Visión por co Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual. Nota de contenido: Multidisciplinary Artificial and Computational Intelligence and Applications -- A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detect Fake News -- Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques -- De-identification of Clinical Notes Using Contextualized Language Models and a Token Classifier -- Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach -- Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation -- Ensemble of Protein Stability Upon Point Mutation Predictors -- Ethics of AI: Do the face detection models act with prejudice? -- Evaluating Topic Models in Portuguese Political Comments about Bills from Brazil's Chamber of Deputies -- Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays -- Experiments on Portuguese Clinical QuestionAnswering -- Long-term Map Maintenance in Complex Environments -- Supervised Training of a Simple DIgital Assistant for a Free Crop Clinic -- The future of AI: neat or scruffy? -- Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network -- Neural Networks, Deep Learning and Computer Vision -- Code autocomplete using Transformers -- Deep Convolutional Features for Fingerprint Indexing -- How to Generate Synthetic Paintings to Improve Art Style Classification -- Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought -- Performance analysis of YOLOv3 for real-time detection of pests in soybeans -- Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis -- Sea State Estimation with Neural Networks based on the Motion of a Moored FPSO subjected to Campos Basin Metocean Conditions -- Time-Dependent Item Embeddings for Collaborative Filtering -- Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network -- Text Mining and Natural Language Processing -- A Deep Learning approach for Aspect Sentiment Triplet Extraction in Portuguese -- Aggressive Language Detection using VGCN-BERT for Spanish Texts -- An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese -- Comparing contextual embeddings for semantic textual similarity in Portuguese -- Deep Active-Self Learning Applied to Named Entity Recognition -- DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment -- Enriching Portuguese Word Embeddings with Visual Information -- Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence based on BERT -- Experiments on Kaldi-based Forced Phonetic Alignment for Brazilian Portuguese -- Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness -- Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language -- mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer -- Named Entity Recognition for Brazilian Portuguese Product Titles -- Portuguese Neural Text Simplification using Machine Translation -- Rhetorical Role Identification for Portuguese Legal Documents -- Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models -- Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts -- Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources -- When external knowledge does not aggregate in Named Entity Recognition. . Tipo de medio : Computadora Summary : The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II [documento electrónico] / Britto, André, ; Valdivia Delgado, Karina, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXIV, 632 p. 17 ilustraciones.
ISBN : 978-3-030-91699-2
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: Ciencias sociales Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Visión Inteligencia artificial Procesamiento de datos Red informática IngenierÃa Informática Visión por co Clasificación: 006.3 Resumen: El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artÃculos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual. Nota de contenido: Multidisciplinary Artificial and Computational Intelligence and Applications -- A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detect Fake News -- Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques -- De-identification of Clinical Notes Using Contextualized Language Models and a Token Classifier -- Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach -- Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation -- Ensemble of Protein Stability Upon Point Mutation Predictors -- Ethics of AI: Do the face detection models act with prejudice? -- Evaluating Topic Models in Portuguese Political Comments about Bills from Brazil's Chamber of Deputies -- Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays -- Experiments on Portuguese Clinical QuestionAnswering -- Long-term Map Maintenance in Complex Environments -- Supervised Training of a Simple DIgital Assistant for a Free Crop Clinic -- The future of AI: neat or scruffy? -- Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network -- Neural Networks, Deep Learning and Computer Vision -- Code autocomplete using Transformers -- Deep Convolutional Features for Fingerprint Indexing -- How to Generate Synthetic Paintings to Improve Art Style Classification -- Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought -- Performance analysis of YOLOv3 for real-time detection of pests in soybeans -- Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis -- Sea State Estimation with Neural Networks based on the Motion of a Moored FPSO subjected to Campos Basin Metocean Conditions -- Time-Dependent Item Embeddings for Collaborative Filtering -- Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network -- Text Mining and Natural Language Processing -- A Deep Learning approach for Aspect Sentiment Triplet Extraction in Portuguese -- Aggressive Language Detection using VGCN-BERT for Spanish Texts -- An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese -- Comparing contextual embeddings for semantic textual similarity in Portuguese -- Deep Active-Self Learning Applied to Named Entity Recognition -- DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment -- Enriching Portuguese Word Embeddings with Visual Information -- Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence based on BERT -- Experiments on Kaldi-based Forced Phonetic Alignment for Brazilian Portuguese -- Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness -- Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language -- mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer -- Named Entity Recognition for Brazilian Portuguese Product Titles -- Portuguese Neural Text Simplification using Machine Translation -- Rhetorical Role Identification for Portuguese Legal Documents -- Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models -- Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts -- Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources -- When external knowledge does not aggregate in Named Entity Recognition. . Tipo de medio : Computadora Summary : The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXXVI, 840 p. 330 ilustraciones, 200 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88480-2 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: Inteligencia artificial Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. Nota de contenido: Oral - Fundamentals of NLP -- Coreference Resolution: Are the eliminated spans totally worthless? -- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space -- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing -- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks -- CTRD: A Chinese Theme-Rheme Discourse Dataset -- Machine Translation and Multilinguality -- Learning to Select Relevant Knowledge for Neural Machine Translation -- Contrastive Learning for Machine Translation Quality Estimation -- Sentence-State LSTMs for Sequence-to-Sequence Learning -- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models -- Adaptive Transformer for Multilingual Neural Machine Translation -- Improving Non-Autoregressive Machine Translation with Soft-Masking -- Machine Learning for NLP -- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space -- AutoTrans: Automating Transformer Design via Reinforced Architecture Search -- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information -- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer -- Pre-trained Language models for Tagalog with Multi source data -- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation -- Information Extraction and Knowledge Graph -- Employing Sentence Compression to improve Event Coreference Resolution -- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment -- Employing Multi-granularity Features to Extract Entity Relation in Dialogue -- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning -- Entity-Aware Relation Representation Learning for Open Relation Extraction -- ReMERT: Relational Memory-based Extraction for Relational Triples -- Recognition of Nested Entity with Dependency Information -- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction -- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER -- Summarization and Generation -- Diversified Paraphrase Generation with Commonsense Knowledge Graph -- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation -- Chinese Poetry Generation with Metrical Constraints -- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level -- Question Generation from Code Snippets and Programming Error Messages -- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network -- Question Answering -- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension -- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension -- Dialogue Systems -- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection -- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling -- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution -- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation -- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF -- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction -- Social Media and Sentiment Analysis -- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis -- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis -- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification -- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection -- Aspect-Sentiment-Multiple-Opinion Triplet Extraction -- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis -- Emotion Classification with Explicit and Implicit Syntactic Information -- MUMOR:A Multimodal Dataset for Humor Detection in Conversations -- NLP Applications and Text Mining -- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification -- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling -- Aggregating inter-viewpoint relationships of user's review for accurate recommendation -- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification -- Sentence Ordering by Context-enhanced Pairwise Comparison -- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation -- A Simple Baseline for Cross-domain Few-shot Text Classification -- Shared Component Cross Punctuation Clauses Recognition in Chinese -- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics -- Uncertainty-aware Self-paced Learning for Grammatical Error Correction -- Metaphor Recognition and Analysis via Data Augmentation -- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning -- Multimodality and Explainability -- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks -- XGPT: Cross-modal Generative Pre-Training for Image Captioning -- An Object-Extensible Training Framework for Image Captioning -- Relation-aware Multi-hop Reasoning for Visual Dialog -- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism. Tipo de medio : Computadora Summary : This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part I [documento electrónico] / Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXVI, 840 p. 330 ilustraciones, 200 ilustraciones en color.
ISBN : 978-3-030-88480-2
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: Inteligencia artificial Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. Nota de contenido: Oral - Fundamentals of NLP -- Coreference Resolution: Are the eliminated spans totally worthless? -- Chinese Macro Discourse Parsing on Dependency Graph Convolutional Network -- Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space -- Multi-Level Cohesion Information Modeling for Better Written and Dialogue Discourse Parsing -- ProPC: A Dataset for In-domain and Cross-Domain Proposition Classification Tasks -- CTRD: A Chinese Theme-Rheme Discourse Dataset -- Machine Translation and Multilinguality -- Learning to Select Relevant Knowledge for Neural Machine Translation -- Contrastive Learning for Machine Translation Quality Estimation -- Sentence-State LSTMs for Sequence-to-Sequence Learning -- Guwen-UNILM: Machine Translation Between Ancient and Modern Chinese Based on Pre-Trained Models -- Adaptive Transformer for Multilingual Neural Machine Translation -- Improving Non-Autoregressive Machine Translation with Soft-Masking -- Machine Learning for NLP -- AutoNLU: Architecture Search for Sentence and Cross-sentence Attention Modeling with Re-designed Search Space -- AutoTrans: Automating Transformer Design via Reinforced Architecture Search -- A Word-level Method for Generating Adversarial Examples Using Whole-sentence Information -- RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer -- Pre-trained Language models for Tagalog with Multi source data -- Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation -- Information Extraction and Knowledge Graph -- Employing Sentence Compression to improve Event Coreference Resolution -- BRCEA: Bootstrapping Relation-aware Cross-lingual Entity Alignment -- Employing Multi-granularity Features to Extract Entity Relation in Dialogue -- Attention Based Reinforcement Learning with Reward Shaping for Knowledge Graph Reasoning -- Entity-Aware Relation Representation Learning for Open Relation Extraction -- ReMERT: Relational Memory-based Extraction for Relational Triples -- Recognition of Nested Entity with Dependency Information -- HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction -- Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER -- Summarization and Generation -- Diversified Paraphrase Generation with Commonsense Knowledge Graph -- Explore Coarse-grained Structures for Syntactically Controllable Paraphrase Generation -- Chinese Poetry Generation with Metrical Constraints -- CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level -- Question Generation from Code Snippets and Programming Error Messages -- Extractive Summarization of Chinese Judgment Documents via Sentence Embedding and Memory Network -- Question Answering -- ThinkTwice: A Two-Stage Method for Long-Text Machine Reading Comprehension -- EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension -- Dialogue Systems -- Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection -- Multi-Intent Attention and Top-k Network with Interactive Framework for Joint Multiple Intent Detection and Slot Filling -- Enhancing Long-Distance Dialogue History Modeling for Better Dialogue Ellipsis and Coreference Resolution -- Exploiting Explicit and Inferred Implicit Personas for Multi-turn Dialogue Generation -- Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF -- Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction -- Social Media and Sentiment Analysis -- Semantic Enhanced Dual-channel Graph Communication Network for Aspect-based Sentiment Analysis -- Highway-Based Local Graph Convolution Network For Aspect Based Sentiment Analysis -- Dual Adversarial Network Based on BERT for Cross-domain Sentiment Classification -- Syntax and Sentiment Enhanced BERT for Earliest Rumor Detection -- Aspect-Sentiment-Multiple-Opinion Triplet Extraction -- Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis -- Emotion Classification with Explicit and Implicit Syntactic Information -- MUMOR:A Multimodal Dataset for Humor Detection in Conversations -- NLP Applications and Text Mining -- Advertisement Extraction from Content Marketing Articles via Segment-aware Sentence Classification -- Leveraging Lexical Common-Sense Knowledge for Boosting Bayesian Modeling -- Aggregating inter-viewpoint relationships of user's review for accurate recommendation -- A Residual Dynamic Graph Convolutional Network for Multi-label Text Classification -- Sentence Ordering by Context-enhanced Pairwise Comparison -- A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation -- A Simple Baseline for Cross-domain Few-shot Text Classification -- Shared Component Cross Punctuation Clauses Recognition in Chinese -- BERT-KG:A Short Text Classification Model Based on Knowledge Graph and Deep Semantics -- Uncertainty-aware Self-paced Learning for Grammatical Error Correction -- Metaphor Recognition and Analysis via Data Augmentation -- Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning -- Multimodality and Explainability -- Skeleton-Based Sign Language Recognition with Attention-enhanced Graph Convolutional Networks -- XGPT: Cross-modal Generative Pre-Training for Image Captioning -- An Object-Extensible Training Framework for Image Captioning -- Relation-aware Multi-hop Reasoning for Visual Dialog -- Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism. Tipo de medio : Computadora Summary : This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXXVI, 630 p. 330 ilustraciones, 146 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88483-3 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 Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. Nota de contenido: Posters - Fundamentals of NLP -- Syntax and Coherence - The Effect on Automatic Argument Quality Assessment -- ExperienceGen 1.0: A Text Generation Challenge Which Requires Deduction and Induction Ability -- Machine Translation and Multilinguality -- SynXLM-R: Syntax-enhanced XLM-R in Translation Quality Estimation -- Machine Learning for NLP -- Memetic Federated Learning for Biomedical Natural Language Processing -- Information Extraction and Knowledge Graph -- Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network -- Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation -- Searching Effective Transformer for Seq2Seq Keyphrase Generation -- Prerequisite Learning with Pre-trained Language and Graph Embedding Models -- Summarization and Generation -- Variational Autoencoder with Interactive Attention for Affective Text Generation -- CUSTOM: Aspect-Oriented Product Summarization for E-Commerce -- Question Answering.-FABERT: A Feature Aggregation BERT-Based Model for Document Reranking -- Generating Relevant, Correct and Fluent Answers in Natural Answer Generation -- GeoCQA: A Large-scale Geography-Domain Chinese Question Answering Dataset from Examination -- Dialogue Systems -- Generating Informative Dialogue Responses with Keywords-Guided Networks -- Zero-Shot Deployment for Cross-Lingual Dialogue System -- MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation -- EmoDialoGPT: Enhancing DialoGPT with Emotion -- Social Media and Sentiment Analysis -- BERT-based Meta-learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews -- ISWR: an Implicit Sentiment Words Recognition Model Based on Sentiment Propagation -- An Aspect-Centralized Graph Convolutional Network for Aspect-based Sentiment Classification -- NLP Applications and Text Mining -- Capturing Global Informativeness in Open Domain Keyphrase Extraction -- Background Semantic Information Improves VerbalMetaphor Identification -- Multimodality and Explainability -- Towards unifying the explainability evaluation methods for NLP -- Explainable AI Workshop -- Detecting Covariate Drift with Explanations -- A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts -- Student Workshop -- Enhancing Model Robustness via Lexical Distilling -- Multi-stage Multi-modal Pre-training for Video Representation -- Nested Causality Extraction on Traffic Accident Texts as Question Answering -- Evaluation Workshop -- MSDF: A General Open-Domain Multi-Skill Dialog Framework -- RoKGDS: A Robust Knowledge Grounded Dialog System -- Enhanced Few-shot Learning with Multiple-Pattern-Exploiting Training -- BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training -- Few-shot Learning for Chinese NLP tasks -- When Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba at FewCLUE -- TKB²ert: Two-stage Knowledge Infused Behavioral Fine-tuned BERT -- A Unified Information Extraction System Based on Role Recognition and Combination -- A Simple but Effective System for Multi-format Information Extraction -- A Hierarchical Sequence Labeling Model for Argument Pair Extraction -- Distant finetuning with discourse relations for stance classification -- The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-Format Information Extraction Task -- A Unified Platform for Information Extraction with Two-stage Process -- Overview of the NLPCC 2021 Shared Task: AutoIE2 -- Task 1 - Argumentative Text Understanding for AI Debater (AIDebater) -- Two Stage Learning for Argument Pairs Extraction -- Overview of Argumentative Text Understanding for AI Debater Challenge -- ACE: A Context-Enhanced model for Interactive Argument Pair Identification -- Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification -- ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals -- Sentence Rewriting for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021 Argumentative Text Understanding for AI Debater as an Example -- Knowledge Enhanced transformers System for Claim Stance Classification. Tipo de medio : Computadora Summary : This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part II [documento electrónico] / Wang, Lu, ; Feng, Yansong, ; Hong, Yu, ; He, Ruifang, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXVI, 630 p. 330 ilustraciones, 146 ilustraciones en color.
ISBN : 978-3-030-88483-3
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 Procesamiento del lenguaje natural (Informática) Procesamiento de datos Sistemas de almacenamiento y recuperación de información. Procesamiento del lenguaje natural (PNL) MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNAI 13028 y LNAI 13029 constituye las actas arbitradas de la décima Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2021, celebrada en Qingdao, China, en octubre de 2021. Los 66 artÃculos completos, 23 artÃculos tipo póster, y 27 artÃculos de taller presentados fueron cuidadosamente revisados ​​y seleccionados entre 446 presentaciones. Están organizados en las siguientes áreas: Fundamentos de PNL; Traducción Automática y Multilingüismo; Aprendizaje automático para PNL; Extracción de Información y Gráfico de Conocimiento; Resumen y Generación; Respuesta a preguntas; Sistemas de Diálogo; Análisis de Sentimientos y Redes Sociales; Aplicaciones de PNL y MinerÃa de Textos; y Multimodalidad y Explicabilidad. Nota de contenido: Posters - Fundamentals of NLP -- Syntax and Coherence - The Effect on Automatic Argument Quality Assessment -- ExperienceGen 1.0: A Text Generation Challenge Which Requires Deduction and Induction Ability -- Machine Translation and Multilinguality -- SynXLM-R: Syntax-enhanced XLM-R in Translation Quality Estimation -- Machine Learning for NLP -- Memetic Federated Learning for Biomedical Natural Language Processing -- Information Extraction and Knowledge Graph -- Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network -- Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluation -- Searching Effective Transformer for Seq2Seq Keyphrase Generation -- Prerequisite Learning with Pre-trained Language and Graph Embedding Models -- Summarization and Generation -- Variational Autoencoder with Interactive Attention for Affective Text Generation -- CUSTOM: Aspect-Oriented Product Summarization for E-Commerce -- Question Answering.-FABERT: A Feature Aggregation BERT-Based Model for Document Reranking -- Generating Relevant, Correct and Fluent Answers in Natural Answer Generation -- GeoCQA: A Large-scale Geography-Domain Chinese Question Answering Dataset from Examination -- Dialogue Systems -- Generating Informative Dialogue Responses with Keywords-Guided Networks -- Zero-Shot Deployment for Cross-Lingual Dialogue System -- MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation -- EmoDialoGPT: Enhancing DialoGPT with Emotion -- Social Media and Sentiment Analysis -- BERT-based Meta-learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews -- ISWR: an Implicit Sentiment Words Recognition Model Based on Sentiment Propagation -- An Aspect-Centralized Graph Convolutional Network for Aspect-based Sentiment Classification -- NLP Applications and Text Mining -- Capturing Global Informativeness in Open Domain Keyphrase Extraction -- Background Semantic Information Improves VerbalMetaphor Identification -- Multimodality and Explainability -- Towards unifying the explainability evaluation methods for NLP -- Explainable AI Workshop -- Detecting Covariate Drift with Explanations -- A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence Systems for Textual Contexts -- Student Workshop -- Enhancing Model Robustness via Lexical Distilling -- Multi-stage Multi-modal Pre-training for Video Representation -- Nested Causality Extraction on Traffic Accident Texts as Question Answering -- Evaluation Workshop -- MSDF: A General Open-Domain Multi-Skill Dialog Framework -- RoKGDS: A Robust Knowledge Grounded Dialog System -- Enhanced Few-shot Learning with Multiple-Pattern-Exploiting Training -- BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training -- Few-shot Learning for Chinese NLP tasks -- When Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba at FewCLUE -- TKB²ert: Two-stage Knowledge Infused Behavioral Fine-tuned BERT -- A Unified Information Extraction System Based on Role Recognition and Combination -- A Simple but Effective System for Multi-format Information Extraction -- A Hierarchical Sequence Labeling Model for Argument Pair Extraction -- Distant finetuning with discourse relations for stance classification -- The Solution of Xiaomi AI Lab to the 2021 Language and Intelligence Challenge: Multi-Format Information Extraction Task -- A Unified Platform for Information Extraction with Two-stage Process -- Overview of the NLPCC 2021 Shared Task: AutoIE2 -- Task 1 - Argumentative Text Understanding for AI Debater (AIDebater) -- Two Stage Learning for Argument Pairs Extraction -- Overview of Argumentative Text Understanding for AI Debater Challenge -- ACE: A Context-Enhanced model for Interactive Argument Pair Identification -- Context-Aware and Data-Augmented Transformer for Interactive Argument Pair Identification -- ARGUABLY @ AI Debater-NLPCC 2021 Task 3: Argument Pair Extraction from Peer Review and Rebuttals -- Sentence Rewriting for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021 Argumentative Text Understanding for AI Debater as an Example -- Knowledge Enhanced transformers System for Claim Stance Classification. Tipo de medio : Computadora Summary : This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings Tipo de documento: documento electrónico Autores: Ren, Jinchang, ; Hussain, Amir, ; Zhao, Huimin, ; Huang, Kaizhu, ; Zheng, Jiangbin, ; Cai, Jun, ; Chen, Rongjun, ; Xiao, Yinyin, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XVI, 595 p. 340 ilustraciones, 176 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-39431-8 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: Inteligencia artificial Visión por computador Red de computadoras Sistemas de reconocimiento de patrones Software de la aplicacion Redes de comunicación informática Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Décima Conferencia Internacional sobre Avances en Sistemas Cognitivos Inspirados en el Cerebro, BICS 2019, celebrada en Guangzhou, China, en julio de 2019. Los 57 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: computación neuronal; sistemas de inspiración biológica; reconocimiento de imágenes: detección, seguimiento y clasificación; y análisis de datos y procesamiento del lenguaje natural. Nota de contenido: Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings [documento electrónico] / Ren, Jinchang, ; Hussain, Amir, ; Zhao, Huimin, ; Huang, Kaizhu, ; Zheng, Jiangbin, ; Cai, Jun, ; Chen, Rongjun, ; Xiao, Yinyin, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVI, 595 p. 340 ilustraciones, 176 ilustraciones en color.
ISBN : 978-3-030-39431-8
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: Inteligencia artificial Visión por computador Red de computadoras Sistemas de reconocimiento de patrones Software de la aplicacion Redes de comunicación informática Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Décima Conferencia Internacional sobre Avances en Sistemas Cognitivos Inspirados en el Cerebro, BICS 2019, celebrada en Guangzhou, China, en julio de 2019. Los 57 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: computación neuronal; sistemas de inspiración biológica; reconocimiento de imágenes: detección, seguimiento y clasificación; y análisis de datos y procesamiento del lenguaje natural. Nota de contenido: Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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