activity
20202022
most citedOneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction

48 citations · 165 across the 17 of their papers we have counts for

collaborators

18 papers

cs.CL20222 cited

TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags

Jiang Liu, Donghong Ji, Jingye Li +4

So far, discontinuous named entity recognition (NER) has received increasing research attention and many related methods have surged such as hypergraph-based methods, span-based me…

cs.CL202225 cited

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…

cs.CL2022

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…

cs.CL202215 cited

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…

cs.CL202248 cited

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…

cs.CL2022

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…