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GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction. (arXiv:2208.12494v3 [cs.CL] UPDATED)
Sept. 14, 2022, 1:15 a.m. | Junyoung Son, Jinsung Kim, Jungwoo Lim, Heuiseok Lim
cs.CL updates on arXiv.org arxiv.org
The dialogue-based relation extraction (DialogRE) task aims to predict the
relations between argument pairs that appear in dialogue. Most previous studies
utilize fine-tuning pre-trained language models (PLMs) only with extensive
features to supplement the low information density of the dialogue by multiple
speakers. To effectively exploit inherent knowledge of PLMs without extra
layers and consider scattered semantic cues on the relation between the
arguments, we propose a Guiding model with RelAtional Semantics using Prompt
(GRASP). We adopt a prompt-based fine-tuning …
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