Papers with lexical methods

2 papers
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings (N19-1)

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Challenge: a new framework for studying political polarization in social media is needed to understand how group divisions manifest in language.
Approach: They propose to cluster tweet embeddings to uncover four dimensions of political polarization in social media . their results apply existing lexical methods to analyze 4.4M tweets on 21 mass shootings .
Outcome: The proposed framework generates more cohesive topics than traditional models.
Effective Contrastive Weighting for Dense Query Expansion (2023.acl-long)

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Challenge: Verbatim queries that do not adequately express the user's search intent are often lexical inadequacies.
Approach: They propose a contrastive weighting model that learns to select the most useful expansion embeddings for semantic search.
Outcome: The proposed model outperforms existing methods while maintaining its efficiency.

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