Papers by Jack Grieve

2 papers
On learning and representing social meaning in NLP: a sociolinguistic perspective (2021.naacl-main)

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Challenge: linguistic variation allows for the expression of social meaning, information about the social background and identity of the language user.
Approach: They introduce the concept of social meaning to NLP and discuss how sociolinguistics can inform work on representation learning in NLP.
Outcome: The proposed model can be used to learn social meaning in NLP and identify key challenges.
Do Word Embeddings Capture Spelling Variation? (2020.coling-main)

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Challenge: Using word embeddings, we analyze spelling variation in word embeds trained on Twitter and Reddit data.
Approach: They propose a new perspective on the analysis of word embeddings by focusing on spelling variation.
Outcome: The proposed analysis shows that word embeddings encode spelling variation patterns of various types to some extent, even when trained using the skipgram model.

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