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.