KCC 2021
Current Result Document :
| 한글제목(Korean Title) |
문서 수준 관계 예측을 위한 설명 가능한 증거 추출 모델 |
| 영문제목(English Title) |
Evidence Retrieval toward an explainable model for Document Level Relation Extraction |
| 저자(Author) |
배현경 이환희 이민우 정교민
Hyunkyung Bae
Hwanhee Lee
Minwoo Lee
Kyomin Jung
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| 원문수록처(Citation) |
VOL 48 NO. 01 PP. 0606 ~ 0608 (2021. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Document-level relation extraction aims to extract relations among entities in a document. In this paper, we present the Evidence Retrieval for Relation Extraction (ER4RE) model that promotes the interpretability of the model prediction. ER4RE consists of an evidence retriever and a relation predictor, which work sequentially. The evidence retriever identifies the supporting sentences and computes the context representation for a given query. Then, the relation predictor takes the context information to infer the relations. We demonstrate that ER4RE achieves a significant performance improvement with oracle evidence sentences, which implies that if the model identifies supporting evidence for a given query, it can easily predict the relations. |
| 키워드(Keyword) |
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| 파일첨부 |
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