Papers Few-Shot Relation Classification
“Few-Shot Relation Classification” 태그가 달린 논문 23편 · 필터 해제
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
2019-06-16 · ACL 2019 7
· Zhi-Xiu Ye, Zhen-Hua Ling
This paper presents a multi-level matching and aggregation network (MLMAN) for few-shot relation classification. Previous studies on this topic adopt prototypical networks, which calculate the embedding vector of a query…
Few-Shot Relation ClassificationGeneral ClassificationRelationRelation ClassificationMatching the Blanks: Distributional Similarity for Relation Learning
2019-06-07 · ACL 2019 7
· Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski
General purpose relation extractors, which can model arbitrary relations, are a core aspiration in information extraction. Efforts have been made to build general purpose extractors that represent relations with their su…
Few-Shot Relation ClassificationRelationRelation ClassificationRelation ExtractionFewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
2018-10-24 · EMNLP 2018 10
· Xu Han, Hao Zhu, Pengfei Yu, ZiYun Wang 외
We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000 sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation of each sentence is first recognized by …
ClassificationFew-Shot LearningFew-Shot Relation ClassificationGeneral Classification+4
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