most citedText2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

14 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022

ECO v1: Towards Event-Centric Opinion Mining

Ruoxi Xu, Hongyu Lin, Meng Liao +5

Events are considered as the fundamental building blocks of the world. Mining event-centric opinions can benefit decision making, people communication, and social good. Unfortunate…

cs.CL2022

Procedural Text Understanding via Scene-Wise Evolution

Jialong Tang, Hongyu Lin, Meng Liao +5

Procedural text understanding requires machines to reason about entity states within the dynamical narratives. Current procedural text understanding approaches are commonly \textbf…

cs.CL2021★ 14 cited

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

Yaojie Lu, Hongyu Lin, Jin Xu +6

Event extraction is challenging due to the complex structure of event records and the semantic gap between text and event. Traditional methods usually extract event records by deco…

cs.CL2021★ 10 cited

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases

Boxi Cao, Hongyu Lin, Xianpei Han +5

Previous literatures show that pre-trained masked language models (MLMs) such as BERT can achieve competitive factual knowledge extraction performance on some datasets, indicating…

cs.CL2021★ 2 cited

From Discourse to Narrative: Knowledge Projection for Event Relation Extraction

Jialong Tang, Hongyu Lin, Meng Liao +5

Current event-centric knowledge graphs highly rely on explicit connectives to mine relations between events. Unfortunately, due to the sparsity of connectives, these methods severe…