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.CL202114 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.CL202110 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.CL20212 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…