Search Results for author: Laura Burdick

Found 3 papers, 2 papers with code

Using Paraphrases to Study Properties of Contextual Embeddings

no code implementations NAACL 2022 Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea

We use paraphrases as a unique source of data to analyze contextualized embeddings, with a particular focus on BERT.

Analyzing the Surprising Variability in Word Embedding Stability Across Languages

1 code implementation EMNLP 2021 Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea

Word embeddings are powerful representations that form the foundation of many natural language processing architectures, both in English and in other languages.

Word Embeddings

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