activity
20222025
most citedTowards a Unified Multi-Dimensional Evaluator for Text Generation

7 citations · 17 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

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.CL2022★ 2 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…

cs.CL2022★ 7 cited

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Ming Zhong, Yang Liu, Da Yin +6

Multi-dimensional evaluation is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimen…

cs.CL2022★ 3 cited

P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization

Sha Li, Liyuan Liu, Yiqing Xie +2

We propose P4E, an identify-and-localize event detection framework that integrates the best of few-shot prompting and structured prediction. Our framework decomposes event detectio…