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        <title>Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items</title>
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            <namePart type="given">Tal</namePart>
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    <abstract>In this paper, we attempt to link the inner workings of a neural language model to linguistic theory, focusing on a complex phenomenon well discussed in formal linguistics: (negative) polarity items. We briefly discuss the leading hypotheses about the licensing contexts that allow negative polarity items and evaluate to what extent a neural language model has the ability to correctly process a subset of such constructions. We show that the model finds a relation between the licensing context and the negative polarity item and appears to be aware of the scope of this context, which we extract from a parse tree of the sentence. With this research, we hope to pave the way for other studies linking formal linguistics to deep learning.</abstract>
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%0 Conference Proceedings
%T Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items
%A Jumelet, Jaap
%A Hupkes, Dieuwke
%Y Linzen, Tal
%Y Chrupała, Grzegorz
%Y Alishahi, Afra
%S Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F jumelet-hupkes-2018-language
%X In this paper, we attempt to link the inner workings of a neural language model to linguistic theory, focusing on a complex phenomenon well discussed in formal linguistics: (negative) polarity items. We briefly discuss the leading hypotheses about the licensing contexts that allow negative polarity items and evaluate to what extent a neural language model has the ability to correctly process a subset of such constructions. We show that the model finds a relation between the licensing context and the negative polarity item and appears to be aware of the scope of this context, which we extract from a parse tree of the sentence. With this research, we hope to pave the way for other studies linking formal linguistics to deep learning.
%R 10.18653/v1/W18-5424
%U https://aclanthology.org/W18-5424
%U https://doi.org/10.18653/v1/W18-5424
%P 222-231

Markdown (Informal)

[Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items](https://aclanthology.org/W18-5424) (Jumelet & Hupkes, EMNLP 2018)

• Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items (Jumelet & Hupkes, EMNLP 2018)

ACL

• Jaap Jumelet and Dieuwke Hupkes. 2018. Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 222–231, Brussels, Belgium. Association for Computational Linguistics.