https://github.com/epfl-dlab/pti-candgen
공식 코드Efficient Entity Candidate Generation for Low-Resource Languages
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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
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Efficient Entity Candidate Generation for Low-Resource Languages
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
Joint Multilingual Supervision for Cross-lingual Entity Linking
Design Challenges in Low-resource Cross-lingual Entity Linking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.