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Nested Mention Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Nested mention recognition is the task of correctly modeling the nested structure of mentions.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Bipartite Flat-Graph Network for Nested Named Entity Recognition
A Unified MRC Framework for Named Entity Recognition
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
Neural Architectures for Nested NER through Linearization
Merge and Label: A novel neural network architecture for nested NER
Multi-Grained Named Entity Recognition
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
A Neural Transition-based Model for Nested Mention Recognition
Neural Segmental Hypergraphs for Overlapping Mention Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.