Chinese Computational Linguistics
Description
The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question answering; text generation and summarization; knowledge graph and information extraction; machine translation and multilingual information processing; minority language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications.
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Fundamental Theory and Methods of Computational Linguistics.- A Joint Model for Graph-based Chinese Dependency Parsing.- Semantic-aware Chinese Zero Pronoun Resolution with Pre-trained Semantic Dependency Parser.- Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning.- Information Retrieval, Dialogue and Question Answering.- Attention-Based Graph Neural Network with Global Context Awareness for Document Understanding.- Combining Impression Feature Representation for Multi-turn Conversational Question Answering.- Text Generation and Summarization.- Chinese Long and Short Form Choice Exploiting Neural Network Language Modeling Approaches.- Refining Data for Text Generation.- Plan-CVAE: A Planning-based Conditional Variational Autoencoder for Story Generation.- Knowledge Graph and Information Extraction.- Towards Causal Explanation Detection with Pyramid Salient-Aware Network.- Named Entity Recognition with Context-AwareDictionary Knowledge.- Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism.- A Practice of Tourism Knowledge Graph Construction based on Heterogeneous Information.- A Novel Joint Framework for Multiple Chinese Events Extraction.- Entity Relative Position Representation based Multi-head Selection for Joint Entity and Relation Extraction.- Machine Translation and Multilingual Information Processing.- A Mixed Learning Objective for Neural Machine Translation .- Multi-Reward based Reinforcement Learning for Neural Machine Translation.- Minority Language Information Processing.- Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning.- Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection.- Recognition Method of Important Words in Korean Text based on Reinforcement Learning.- Mongolian Questions Classification Based on Multi-Head Attention.- Language Resource and Evaluation.- The Annotation Scheme of English-Chinese Clause Alignment Corpus.- Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool.- LiveQA: A Question Answering Dataset over Sports Live.- Chinese and English Elementary Discourse Units Recognition based on Bi-LSTM-CRF Model.- Social Computing and Sentiment Analysis.- Better Queries for Aspect-Category Sentiment Classification.- Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language.- CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue.- A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer.- NLP Applications.- Compress Polyphone Pronunciation Prediction Model with Shared Labels.- Multi-task Legal Judgement Prediction Combining a Subtask of Seriousness of Charge.- Clickbait Detection with Style-aware Title Modeling and Co-attention.- Konwledge-EnabledDiagnosis Assistant Based on Obstetric EMRs and Knowledge Graph.- Reusable Phrase Extraction Based on Syntactic Parsing.- WAE_RN: Integrating Wasserstein Autoencoder and Relational Network for Text Sequence.