This book constitutes the proceedings of the 21st China National Conference on Computational Linguistics, CCL 2022, held in Nanchang, China, in October 2022.
The 22 full English-language papers in this volume were carefully reviewed and selected from 293 Chinese and English submissions.
The conference papers are categorized into the following topical sub-headings: Linguistics and Cognitive Science; 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; NLP Applications.
Linguistics and Cognitive Science.- Discourse Markers as the
Classificatory Factors of Speech Acts.- Fundamental Theory and Methods of
Computational Linguistics.- DIFM: An effective deep interaction and fusion
model for sentence matching.- ConIsI: A Contrastive Framework with
Inter-sentence Interaction for Self-supervised Sentence
Representation.- Information Retrieval, Dialogue and Question
Answering.- Data Synthesis and Iterative Refinement for Neural Semantic
Parsing without Annotated Logical Forms.- EventBERT: Incorporating
Event-based Semantics for Natural Language Understanding.- An Exploration of
Prompt-Based Zero-Shot Relation Extraction Method.- Abstains from Prediction:
Towards Robust Relation Extraction in Real World.- Using Extracted Emotion
Cause to Improve Content-Relevance for Empathetic Conversation
Generation.- Text Generation and Summarization.- To Adapt or to Fine-tune: A
Case Study on Abstractive Summarization.- Knowledge Graph and Information
Extraction.- MRC-based Medical NER with Multi-task Learning and
Multi-strategies.- A Multi-Gate Encoder for Joint Entity and Relation
Extraction.- Improving Event Temporal Relation Classification via Auxiliary
Label-Aware Contrastive Learning.- Machine Translation and Multilingual
Information Processing.- Towards Making the Most of Pre-trained Translation
Model for Quality Estimation.- Supervised Contrastive Learning for
Cross-lingual Transfer Learning.- Minority Language Information
Processing.- Interactive Mongolian Question Answer Matching Model Based on
Attention Mechanism in the Law Domain.- Language Resource and
Evaluation.- TCM-SD: A Benchmark for Probing Syndrome Differentiation via
Natural Language Processing.- COMPILING: A Benchmark Dataset for Chinese
Complexity Controllable Definition Generation.- NLP Applications.- Can We
Really Trust Explanations? Evaluating the Stability of Feature Attribution
Explanation Methods via Adversarial Attack.- Dynamic Negative Example
Construction for Grammatical Error Correction using Contrastive
Learning.- SPACL: Shared-Private Architecture based on Contrastive Learning
for Multi-domain Text Classification.- Low-Resource Named Entity Recognition
Based on Multi-hop Dependency Trigger.- Fundamental Analysis based Neural
Network for Stock Movement Prediction.
Biežāk uzdotie jautājumi par e-grāmatām