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

48 citations · 95 across the 7 of their papers we have counts for

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7 papers · 1 filter

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.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…

cs.CL20215 cited

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

Fei Li, Zhichao Lin, Meishan Zhang +1

Research on overlapped and discontinuous named entity recognition (NER) has received increasing attention. The majority of previous work focuses on either overlapped or discontinuo…