Papers by Lauren Klein

2 papers
Riveter: Measuring Power and Social Dynamics Between Entities (2023.acl-demo)

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Challenge: Riveter provides a complete pipeline for analyzing verb connotations associated with entities in text corpora.
Approach: et al., 2005, provide a verb-centric analysis pipeline for verb connotations in text corpora . they prepopulate the pipeline with connotation frames of sentiment, power, and agency . lexical frameworks have been foundational tools in social science, digital humanities, and natural language processing .
Outcome: Riveter provides a complete pipeline for analyzing verb connotations associated with entities in text corpora.
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters (2024.acl-long)

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Challenge: Large language models' (LLMs) abilities are drawn from their pretraining data. however, decisions around what data is retained or removed during this initial stage are under-scrutinized.
Approach: They ground web text, a popular pretraining data source, to its social and geographic contexts.
Outcome: The results show that some quality classifiers act like topical domain filters, and langID overlook English content from some regions of the world.

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