Oct 19, 2020 · Abstract:Cross-language entity linking grounds mentions in multiple languages to a single-language knowledge base.
Elliot Schumacher, James Mayfield, and Mark Dredze. 2021. Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking. In Findings of the Association for ...
It is found that a system trained with multilingual representations does reasonably well in the task of zero-shot cross-language transfer of entity linking ...
Sep 7, 2024 · Cross-language entity linking grounds mentions in multiple languages to a single-language knowledge base. We propose a neural ranking ...
In this research we studied cross-lingual transfer language selection for zero-shot learning using three different NLP tasks.
Most entity linking systems, whether mono or multilingual, link mentions to a single English knowledge base. Few have considered link-.
Oct 22, 2022 · We propose EntityCS, a method that focuses on Entity-level Code-Switching to capture fine-grained cross-lingual semantics without corrupting syntax.
Missing: Linking. | Show results with:Linking.
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[PDF] Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
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Abstract. Cross-lingual entity linking maps an entity mention in a source language to its corresponding entry in a structured.
Algorithm 1 Pseudo-code of adversarial model training. In each epoch, a random set of text. (y = 5) is used to adversarially train the language classifier.
Cross-lingual entity linking maps an entity mention in a source language to its corresponding entry in a structured knowledge base that is in a different ...