activity
20202023
most citedEnhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck

67 citations · 89 across the 9 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023★ 1 cited

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction

Shiyao Cui, Xin Cong, Jiawei Sheng +3

Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain from a candidate list. Prior research has achieved great success by integrating external…

cs.CL2023★ 8 cited

Event Causality Extraction with Event Argument Correlations

Shiyao Cui, Jiawei Sheng, Xin Cong +3

Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understand…

cs.CL2022

Document-Level Event Extraction via Human-Like Reading Process

Shiyao Cui, Xin Cong, Bowen Yu +3

Document-level Event Extraction (DEE) is particularly tricky due to the two challenges it poses: scattering-arguments and multi-events. The first challenge means that arguments of…

cs.CL2020★ 4 cited

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks

Shiyao Cui, Bowen Yu, Xin Cong +3

Event Detection (ED) aims to recognize instances of specified types of event triggers in text. Different from English ED, Chinese ED suffers from the problem of word-trigger mismat…

cs.CL2020★ 9 cited

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

Shiyao Cui, Bowen Yu, Tingwen Liu +3

Event detection (ED), a key subtask of information extraction, aims to recognize instances of specific event types in text. Previous studies on the task have verified the effective…