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.
Inhaltsverzeichnis
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.
