Entity linking (EL) is the task of disambiguating mentions appearing in text by linking them to entities in a knowledge graph, a crucial task for text ...
Jun 17, 2021 · Here we propose LNN-EL, a neuro-symbolic approach that combines the advantages of using interpretable rules based on first-order logic with the performance of ...
• LNN-EL, a neuro-symbolic approach for entity linking on short text. • Achieved competitive performance against SotA black-box neural models. • LNN-EL is ...
Aug 1, 2021 · Entity linking (EL) is the task of disambiguating mentions appearing in text by linking them to entities in a knowledge graph, a crucial ...
This work takes a different, neuro-symbolic approach that combines the advantages of using interpretable rules based on first-order logic with the ...
Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question ...
Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, ...
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Jun 17, 2021 · We introduced LNN-EL, a neuro-symbolic ap- proach for entity linking on short text. Our ap- proach complements human-given rule templates.
Jun 29, 2021 · Bibliographic details on LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking.