I am a Research Scientist in Natural Language Processing at Abridge.
Prior to joining Abridge, I received my Ph.D. in Linguistics from UT Austin in 2020, where I was advised by Dr. Katrin Erk and Dr. Jessy Li, and was also a member of the TAUR Lab headed by Dr. Greg Durrett.
My current research interests include conversation analysis and information extraction in the medical domain.
During my graudate studies, I was interested in computational discourse analysis and how to capture the ambiguity and subjectivity of discourse in dialogue.
S. Ramprasad, E. Ferracane, Z. Lipton. Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends. ACL, 2024. [bib] [code] [poster] [slides] [video]
E. Ferracane, G. Durrett, J.J. Li, K. Erk. Did they answer? Subjective acts and intents in conversational discourse. NAACL, 2021. [bib] [code] [poster] [slides] [video]
E. Ferracane, S. Konam. Towards Fairness in Classifying Medical Conversations into SOAP Sections. AAAI 2021 Workshop: Trustworthy AI for Healthcare, 2021. [bib] [poster]
E. Ferracane, G. Durrett, J.J. Li, K. Erk. Evaluating Discourse in Structured Text Representations. ACL, 2019. [bib] [code] [poster]
E. Ferracane, T. Page, J.J. Li, K. Erk. From News to Medical: Cross-domain Discourse Segmentation. NAACL DISRPT Workshop, 2019. [bib] [code] [slides]
E. Ferracane, S. Wang, R. Mooney. Leveraging discourse information effectively for authorship attribution. IJCNLP, 2017. [bib] [code] [slides] [video]
E. Ferracane, I. Marshall, B. Wallace, K. Erk. Leveraging coreference to identify arms in medical abstracts: An experimental study. EMNLP LOUHI Workshop, 2016. [bib] [code] [slides]
[pdf]
email: elisa AT ferracane DOT com