Papers with unsupervised or zero-shot methods

1 papers
Strong Heuristics for Named Entity Linking (2022.naacl-srw)

Copied to clipboard

Challenge: Named entity linking (NEL) is a challenging task due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods.
Approach: They propose to map speaker-attributed quotes to a unique identifier in a referent knowledge base and then use it to resolve the ambiguity.
Outcome: The proposed method disambiguates 94% and 63% of the mentions on Quotebank and the AIDA-CoNLL benchmark, respectively.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations