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Cross-Lingual Entity Linking
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Cross-lingual entity linking is the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve entity linking tasks (i.e., assigning a unique identity to entities in a text) in another, commonly low-resource, language.
Image Source: Towards Zero-resource Cross-lingual Entity Linking
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Efficient Entity Candidate Generation for Low-Resource Languages
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Soft Gazetteers for Low-Resource Named Entity Recognition
Design Challenges in Low-resource Cross-lingual Entity Linking
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
Towards Zero-resource Cross-lingual Entity Linking
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision
Zero-shot Neural Transfer for Cross-lingual Entity Linking
Joint Multilingual Supervision for Cross-lingual Entity Linking
Neural Cross-Lingual Entity Linking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.