Autor He, Ruifang
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Documentos disponibles escritos por este autor (4)
Hacer una sugerencia Refinar búsqueda10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13À“17, 2021, Proceedings, Part I / Wang, Lu ; Feng, Yansong ; Hong, Yu ; He, Ruifang
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. 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 Ãndice Dewey: 006.3 Inteligencia artificial 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. En lÃnea: 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 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.
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 Ãndice Dewey: 006.3 Inteligencia artificial 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. En lÃnea: 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
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. 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 Ãndice Dewey: 006.3 Inteligencia artificial 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. En lÃnea: 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 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.
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 Ãndice Dewey: 006.3 Inteligencia artificial 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. En lÃnea: 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
TÃtulo : 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14À“18, 2020, Proceedings, Part I Tipo de documento: documento electrónico Autores: Zhu, Xiaodan, ; Zhang, Min, ; Hong, Yu, ; He, Ruifang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXIX, 857 p. 284 ilustraciones, 201 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60450-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Procesamiento de imágenes Visión por computador Ciencias de la Computación Ciencias sociales IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos TeorÃa de la Computación Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de dos volúmenes de LNAI 12340 y LNAI 12341 constituye las actas arbitradas de la 9.ª Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2020, celebrada en Zhengzhou, China, en octubre de 2020. Los 70 artÃculos completos, 30 artÃculos tipo póster y Se revisaron y seleccionaron cuidadosamente 14 artÃculos de taller presentados entre 320 presentaciones. Están organizados en las siguientes áreas: Bot Conversacional/QA; Fundamentos de PNL; Base de Conocimiento, Gráficos y Web Semántica; Aprendizaje automático para PNL; Traducción Automática y Multilingüismo; Aplicaciones de PNL; Redes y Medios Sociales; Extracción de textos; y temas de actualidad. Nota de contenido: Oral-Conversational Bot/QA -- Fundamentals of NLP -- Knowledge Base, Graphs and Semantic Web -- Machine Learning for NLP -- Machine Translation and Multilinguality -- NLP Applications -- Social Media and Network -- Text Mining. En lÃnea: 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 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14À“18, 2020, Proceedings, Part I [documento electrónico] / Zhu, Xiaodan, ; Zhang, Min, ; Hong, Yu, ; He, Ruifang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXIX, 857 p. 284 ilustraciones, 201 ilustraciones en color.
ISBN : 978-3-030-60450-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Procesamiento de imágenes Visión por computador Ciencias de la Computación Ciencias sociales IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos TeorÃa de la Computación Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de dos volúmenes de LNAI 12340 y LNAI 12341 constituye las actas arbitradas de la 9.ª Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2020, celebrada en Zhengzhou, China, en octubre de 2020. Los 70 artÃculos completos, 30 artÃculos tipo póster y Se revisaron y seleccionaron cuidadosamente 14 artÃculos de taller presentados entre 320 presentaciones. Están organizados en las siguientes áreas: Bot Conversacional/QA; Fundamentos de PNL; Base de Conocimiento, Gráficos y Web Semántica; Aprendizaje automático para PNL; Traducción Automática y Multilingüismo; Aplicaciones de PNL; Redes y Medios Sociales; Extracción de textos; y temas de actualidad. Nota de contenido: Oral-Conversational Bot/QA -- Fundamentals of NLP -- Knowledge Base, Graphs and Semantic Web -- Machine Learning for NLP -- Machine Translation and Multilinguality -- NLP Applications -- Social Media and Network -- Text Mining. En lÃnea: 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
TÃtulo : 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14À“18, 2020, Proceedings, Part II Tipo de documento: documento electrónico Autores: Zhu, Xiaodan, ; Zhang, Min, ; Hong, Yu, ; He, Ruifang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXX, 591 p. 317 ilustraciones, 146 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60457-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Procesamiento de imágenes Visión por computador Ciencias de la Computación Ciencias sociales IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos TeorÃa de la Computación Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de dos volúmenes de LNAI 12340 y LNAI 12341 constituye las actas arbitradas de la 9.ª Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2020, celebrada en Zhengzhou, China, en octubre de 2020. Los 70 artÃculos completos, 30 artÃculos tipo póster y Se revisaron y seleccionaron cuidadosamente 14 artÃculos de taller presentados entre 320 presentaciones. Están organizados en las siguientes áreas: Bot Conversacional/QA; Fundamentos de PNL; Base de Conocimiento, Gráficos y Web Semántica; Aprendizaje automático para PNL; Traducción Automática y Multilingüismo; Aplicaciones de PNL; Redes y Medios Sociales; Extracción de textos; y temas de actualidad. Nota de contenido: Trending Topics (Explainability, Ethics, Privacy, Multimodal NLP) -- Poster -- Explainable AI Workshop -- Student Workshop -- Evaluation Workshop. En lÃnea: 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 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14À“18, 2020, Proceedings, Part II [documento electrónico] / Zhu, Xiaodan, ; Zhang, Min, ; Hong, Yu, ; He, Ruifang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXX, 591 p. 317 ilustraciones, 146 ilustraciones en color.
ISBN : 978-3-030-60457-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Procesamiento de imágenes Visión por computador Ciencias de la Computación Ciencias sociales IngenierÃa Informática y Redes Imágenes por computadora visión reconocimiento de patrones y gráficos TeorÃa de la Computación Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de dos volúmenes de LNAI 12340 y LNAI 12341 constituye las actas arbitradas de la 9.ª Conferencia CCF sobre procesamiento del lenguaje natural y computación china, NLPCC 2020, celebrada en Zhengzhou, China, en octubre de 2020. Los 70 artÃculos completos, 30 artÃculos tipo póster y Se revisaron y seleccionaron cuidadosamente 14 artÃculos de taller presentados entre 320 presentaciones. Están organizados en las siguientes áreas: Bot Conversacional/QA; Fundamentos de PNL; Base de Conocimiento, Gráficos y Web Semántica; Aprendizaje automático para PNL; Traducción Automática y Multilingüismo; Aplicaciones de PNL; Redes y Medios Sociales; Extracción de textos; y temas de actualidad. Nota de contenido: Trending Topics (Explainability, Ethics, Privacy, Multimodal NLP) -- Poster -- Explainable AI Workshop -- Student Workshop -- Evaluation Workshop. En lÃnea: 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
