Noémie Elhadad

Also published as: Noemie Elhadad


2021

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What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Griffin Adams | Emily Alsentzer | Mert Ketenci | Jason Zucker | Noémie Elhadad
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Summarization of clinical narratives is a long-standing research problem. Here, we introduce the task of hospital-course summarization. Given the documentation authored throughout a patient’s hospitalization, generate a paragraph that tells the story of the patient admission. We construct an English, text-to-text dataset of 109,000 hospitalizations (2M source notes) and their corresponding summary proxy: the clinician-authored “Brief Hospital Course” paragraph written as part of a discharge note. Exploratory analyses reveal that the BHC paragraphs are highly abstractive with some long extracted fragments; are concise yet comprehensive; differ in style and content organization from the source notes; exhibit minimal lexical cohesion; and represent silver-standard references. Our analysis identifies multiple implications for modeling this complex, multi-document summarization task.

2015

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A convex and feature-rich discriminative approach to dependency grammar induction
Édouard Grave | Noémie Elhadad
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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SemEval-2015 Task 14: Analysis of Clinical Text
Noémie Elhadad | Sameer Pradhan | Sharon Gorman | Suresh Manandhar | Wendy Chapman | Guergana Savova
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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SemEval-2014 Task 7: Analysis of Clinical Text
Sameer Pradhan | Noémie Elhadad | Wendy Chapman | Suresh Manandhar | Guergana Savova
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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Terminology Questions in Texts Authored by Patients
Noemie Elhadad
Proceedings of the 4th International Workshop on Computational Terminology (Computerm)

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Cross-narrative Temporal Ordering of Medical Events
Preethi Raghavan | Eric Fosler-Lussier | Noémie Elhadad | Albert M. Lai
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2011

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Putting it Simply: a Context-Aware Approach to Lexical Simplification
Or Biran | Samuel Brody | Noémie Elhadad
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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A Comparison of Features for Automatic Readability Assessment
Lijun Feng | Martin Jansche | Matt Huenerfauth | Noémie Elhadad
Coling 2010: Posters

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An Unsupervised Aspect-Sentiment Model for Online Reviews
Samuel Brody | Noemie Elhadad
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Cancer Stage Prediction Based on Patient Online Discourse
Mukund Jha | Noémie Elhadad
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing

2009

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Cognitively Motivated Features for Readability Assessment
Lijun Feng | Noémie Elhadad | Matt Huenerfauth
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)

2007

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Mining a Lexicon of Technical Terms and Lay Equivalents
Noemie Elhadad | Komal Sutaria
Biological, translational, and clinical language processing

2003

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Sentence Alignment for Monolingual Comparable Corpora
Regina Barzilay | Noemie Elhadad
Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing

2002

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Collection and linguistic processing of a large-scale corpus of medical articles
Simone Teufel | Noemie Elhadad
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2001

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Sentence Ordering in Multidocument Summarization
Regina Barzilay | Noemie Elhadad | Kathleen R. McKeown
Proceedings of the First International Conference on Human Language Technology Research