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Cross-Lingual Entity Linking

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

Papers

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Showing 11–20 of 22 papers

TitleStatusHype
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
xLiD-Lexica: Cross-lingual Linked Data Lexica—0
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning—0
Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations—0
Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining—0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders—0
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer—0
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