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Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
March 25, 2024, 4:47 a.m. | Xiaobin Zhang, Liangjun Zang, Qianwen Liu, Shuchong Wei, Songlin Hu
cs.CL updates on arXiv.org arxiv.org
Abstract: Event temporal relation (TempRel) is a primary subject of the event relation extraction task. However, the inherent ambiguity of TempRel increases the difficulty of the task. With the rise of prompt engineering, it is important to design effective prompt templates and verbalizers to extract relevant knowledge. The traditional manually designed templates struggle to extract precise temporal knowledge. This paper introduces a novel retrieval-augmented TempRel extraction approach, leveraging knowledge retrieved from large language models (LLMs) to …
abstract arxiv cs.cl design engineering event extract extraction however knowledge llms prompt retrieval retrieval-augmented temporal type
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