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Christin Beck

2 accepted papers

2022

Negation, Coordination, and Quantifiers in Contextualized Language Models

COLING 2022main

With the success of contextualized language models, much research explores what these models really learn and in which cases they still fail. Most of this work focuses on specific NLP tasks and on the learning outcome. Little research has attempted to decouple the models’ weaknesses from specific ta…

Cited by 16SourcePDFScholar
2021

Explaining Contextualization in Language Models using Visual Analytics

ACL 2021long

Despite the success of contextualized language models on various NLP tasks, it is still unclear what these models really learn. In this paper, we contribute to the current efforts of explaining such models by exploring the continuum between function and content words with respect to contextualizatio…

Cited by 25SourcePDFScholar