https://github.com/zqtan1024/sequence-to-set
공식 코드A Sequence-to-Set Network for Nested Named Entity Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured entities) mentioned in unstructured text (Source: Adapted from Wikipedia).
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Sequence-to-Set Network for Nested Named Entity Recognition
DiffusionNER: Boundary Diffusion for Named Entity Recognition
Structured Prediction as Translation between Augmented Natural Languages
Neural Segmental Hypergraphs for Overlapping Mention Recognition
DiffusionNER: Boundary Diffusion for Named Entity Recognition
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.