95 citations · 659 across the 48 of their papers we have counts for
7 papers · 2 filters
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis
Bobo Li, Hao Fei, Fei Li +8
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society. The current ABSA works, however, are mostly limi…
Entity-centered Cross-document Relation Extraction
Fengqi Wang, Fei Li, Hao Fei +6
Relation Extraction (RE) is a fundamental task of information extraction, which has attracted a large amount of research attention. Previous studies focus on extracting the relatio…
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Hao Fei, Shengqiong Wu, Meishan Zhang +2
Conversational semantic role labeling (CSRL) is a newly proposed task that uncovers the shallow semantic structures in a dialogue text. Unfortunately several important characterist…
Conversation Disentanglement with Bi-Level Contrastive Learning
Chengyu Huang, Zheng Zhang, Hao Fei +1
Conversation disentanglement aims to group utterances into detached sessions, which is a fundamental task in processing multi-party conversations. Existing methods have two main dr…
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction
Shunjie Chen, Xiaochuan Shi, Jingye Li +4
Emotion cause pair extraction (ECPE), as one of the derived subtasks of emotion cause analysis (ECA), shares rich inter-related features with emotion extraction (EE) and cause extr…
OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction
Hu Cao, Jingye Li, Fangfang Su +6
Event extraction (EE) is an essential task of information extraction, which aims to extract structured event information from unstructured text. Most prior work focuses on extracti…
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis
Wenxuan Shi, Fei Li, Jingye Li +2
The state-of-the-art model for structured sentiment analysis casts the task as a dependency parsing problem, which has some limitations: (1) The label proportions for span predicti…