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        <title>What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity</title>
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    <name type="personal">
        <namePart type="given">Felice</namePart>
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    <name type="personal">
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    <abstract>This paper presents an investigation aimed at studying how the linguistic structure of a sentence affects the perplexity of two of the most popular Neural Language Models (NLMs), BERT and GPT-2. We first compare the sentence-level likelihood computed with BERT and the GPT-2’s perplexity showing that the two metrics are correlated. In addition, we exploit linguistic features capturing a wide set of morpho-syntactic and syntactic phenomena showing how they contribute to predict the perplexity of the two NLMs.</abstract>
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%0 Conference Proceedings
%T What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity
%A Miaschi, Alessio
%A Brunato, Dominique
%A Dell’Orletta, Felice
%A Venturi, Giulia
%Y Agirre, Eneko
%Y Apidianaki, Marianna
%Y Vulić, Ivan
%S Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
%D 2021
%8 June
%I Association for Computational Linguistics
%C Online
%F miaschi-etal-2021-makes
%X This paper presents an investigation aimed at studying how the linguistic structure of a sentence affects the perplexity of two of the most popular Neural Language Models (NLMs), BERT and GPT-2. We first compare the sentence-level likelihood computed with BERT and the GPT-2’s perplexity showing that the two metrics are correlated. In addition, we exploit linguistic features capturing a wide set of morpho-syntactic and syntactic phenomena showing how they contribute to predict the perplexity of the two NLMs.
%R 10.18653/v1/2021.deelio-1.5
%U https://aclanthology.org/2021.deelio-1.5
%U https://doi.org/10.18653/v1/2021.deelio-1.5
%P 40-47

Markdown (Informal)

[What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity](https://aclanthology.org/2021.deelio-1.5) (Miaschi et al., DeeLIO 2021)

• What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity (Miaschi et al., DeeLIO 2021)

ACL

• Alessio Miaschi, Dominique Brunato, Felice Dell’Orletta, and Giulia Venturi. 2021. What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity. In Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pages 40–47, Online. Association for Computational Linguistics.