Search Results for author: Jack LaViolette

Found 4 papers, 1 papers with code

WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover’s Distance in Sociocultural Analysis

1 code implementation EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 Mikael Brunila, Jack LaViolette

Despite the increasing popularity of NLP in the humanities and social sciences, advances in model performance and complexity have been accompanied by concerns about interpretability and explanatory power for sociocultural analysis.

What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris

no code implementations NAACL 2022 Mikael Brunila, Jack LaViolette

The power of word embeddings is attributed to the linguistic theory that similar words will appear in similar contexts.

Word Embeddings

WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover's Distance in Sociocultural Analysis

no code implementations14 Oct 2021 Mikael Brunila, Jack LaViolette

Despite the increasing popularity of NLP in the humanities and social sciences, advances in model performance and complexity have been accompanied by concerns about interpretability and explanatory power for sociocultural analysis.

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