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20192023
most citedTopic Discovery via Latent Space Clustering of Pretrained Language Model Representations

50 citations · 118 across the 13 of their papers we have counts for

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14 papers · 1 filter

cs.CL2023

Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification

Sha Li, Ruining Zhao, Manling Li +3

Event schemas are a form of world knowledge about the typical progression of events. Recent methods for event schema induction use information extraction systems to construct a lar…

cs.CL2023

ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision

Ming Zhong, Siru Ouyang, Minhao Jiang +4

Structured chemical reaction information plays a vital role for chemists engaged in laboratory work and advanced endeavors such as computer-aided drug design. Despite the importanc…

cs.CL2022

Entity Set Co-Expansion in StackOverflow

Yu Zhang, Yunyi Zhang, Yucheng Jiang +5

Given a few seed entities of a certain type (e.g., Software or Programming Language), entity set expansion aims to discover an extensive set of entities that share the same type as…

cs.CL2022

Open Relation and Event Type Discovery with Type Abstraction

Sha Li, Heng Ji, Jiawei Han

Conventional closed-world information extraction (IE) approaches rely on human ontologies to define the scope for extraction. As a result, such approaches fall short when applied t…

cs.CL20222 cited

Open-Vocabulary Argument Role Prediction for Event Extraction

Yizhu Jiao, Sha Li, Yiqing Xie +3

The argument role in event extraction refers to the relation between an event and an argument participating in it. Despite the great progress in event extraction, existing studies…

cs.CL2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion

Jianhao Shen, Chenguang Wang, Ye Yuan +5

This paper presents a parameter-lite transfer learning approach of pretrained language models (LM) for knowledge graph (KG) completion. Instead of finetuning, which modifies all LM…