Search Results for author: Mithun Paul

Found 4 papers, 1 papers with code

On the Importance of Delexicalization for Fact Verification

no code implementations IJCNLP 2019 Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu

As expected, even though this method achieves high accuracy when evaluated in the same domain, the performance in the target domain is poor, marginally above chance. To mitigate this dependence on lexicalized information, we experiment with several strategies for masking out names by replacing them with their semantic category, coupled with a unique identifier to mark that the same or new entities are referenced between claim and evidence.

Fact Verification Natural Language Inference +2

A mostly unlexicalized model for recognizing textual entailment

no code implementations WS 2018 Mithun Paul, Rebecca Sharp, Mihai Surdeanu

For example, such a system trained in the news domain may learn that a sentence like {``}Palestinians recognize Texas as part of Mexico{''} tends to be unsupported, but this fact (and its corresponding lexicalized cues) have no value in, say, a scientific domain.

Fake News Detection Information Retrieval +3

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