Our EACL 2024 paper promotes a strict definition of entity salience by presenting GUMsley, a 12-genre challenge dataset for entity salience evaluation and shows how salient entities added to summarization models are beneficial for deriving higher-quality summaries with fewer hallucinated entities
Current members
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PhD Student in Computational Linguistics, Language Modeling, Language Acquisition, Learner Corpus Research, NLP
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PhD Student in Computational Linguistics, Corpus Linguistics, Natural Language Processing
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PhD Student in Computational Linguistics, Discourse Processing, Pragmatics, Linguistic Annotation
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PhD Student in Computational Linguistics, Coreference Resolution, LLM Evaluation, Linguistic Annotation
Alumni
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PhD in Computational Linguistics (2017), Senior Computational Linguist at BlackBoiler LLC
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MS in Computational Linguistics (2019), PhD Student in Computer Science at Tufts University
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PhD in Computational Linguistics (2023), Post-Doc at Munich AI & NLP (MaiNLP, LMU Munich)
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PhD in Computational Linguistics (2023), Assistant Professor of Linguistics at Indiana University Bloomington