Papers by Laura Burdick

3 papers
Identifying Visible Actions in Lifestyle Vlogs (P19-1)

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Challenge: Existing methods for identifying human actions in videos are limited by the number of visual depictions in the videos.
Approach: They propose a multimodal algorithm that leverages visual and linguistic clues to automatically infer which actions are visible in a video.
Outcome: The proposed algorithm can identify actions visible in video while verbally describing them.
Analyzing the Surprising Variability in Word Embedding Stability Across Languages (2021.emnlp-main)

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Challenge: Word embeddings are powerful representations that form the foundation of many natural language processing architectures.
Approach: They explore word embedding stability in a wide range of languages to gain insight into their stability.
Outcome: The proposed results provide insights into word embedding stability in English and other languages.
Using Paraphrases to Study Properties of Contextual Embeddings (2022.naacl-main)

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Challenge: Previously, paraphrases have been used to probe whether compositionality is accurately captured by BERT, but we believe they can be used to explore many other questions.
Approach: They propose to use paraphrases as a unique source of data to analyze contextualized embeddings, with a particular focus on BERT.
Outcome: The proposed analysis of paraphrases and paraphrase representations using the Paraphrase Database shows that BERT handles polysemous words, but different representations in many cases.

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