Título :	10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13Ѐ“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)  Minería de datos y descubrimiento de conocimientos  Almacenamiento y recuperación de información
Índice 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 artículos completos, 23 artículos tipo póster, y 27 artículos 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 Minería 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 línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13Ѐ“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)  Minería de datos y descubrimiento de conocimientos  Almacenamiento y recuperación de información
Índice 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 artículos completos, 23 artículos tipo póster, y 27 artículos 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 Minería 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 línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i