Search Results for author: Carmeline Dsilva

Found 1 papers, 1 papers with code

FANATIC: FAst Noise-Aware TopIc Clustering

1 code implementation Findings (EMNLP) 2021 Ari Silburt, Anja Subasic, Evan Thompson, Carmeline Dsilva, Tarec Fares

Extracting salient topics from a collection of documents can be a challenging task when a) the amount of data is large, b) the number of topics is not known a priori, and/or c) “topic noise” is present.

Clustering

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