Sara Rosenthal
Staff Research Scientist at Ibm
Based in Monsey, United States
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Seniority
Staff
Department
Research & Development
Location
Monsey
Industry
IT Services and IT Consulting
Company size
339K
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s•••••••@ibm.com
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Background
About Sara Rosenthal
I am a Staff Research Scientist in the Language Technologies department at IBM Research AI, most recently focusing on Generative QA (RAG). Visit my IBM page: https://research.ibm.com/people/sara-rosenthal. I am also currently the IBM ACL Champion since 2020 (https://research.ibm.com/events/acl-2023) and SemEval Workshop organizer (https://semeval.github.io/SemEval2024/, https://semeval.github.io/SemEval2025/). Previously I was in the Natural Language Analytics Group in Healthcare and Life Sciences focusing on Decision Support Question Answering in the medical domain. I also worked on some other projects at IBM that touched on my interests in Computational Social Science. I was a Co-Organizer of the 2021 SemEval Task, Statement Verification and Evidence Finding with Tables: https://sites.google.com/view/sem-tab-facts/home I was a Co-Organizer of the 2019-2020 SemEval Task, OffensEval: Identifying and Categorizing Offensive Language in Social Media: https://competitions.codalab.org/competitions/20011 I was a Co-Organizer of the 2019-2020 SemEval Task, Offensive Language Identification in Social Media: https://sites.google.com/site/offensevalsharedtask/home I was a Co-Organizer of the 2013-2017 SemEval Task, Sentiment Analysis in Twitter: http://alt.qcri.org/semeval2017/task4/ I received my PhD working under Dr. Kathleen McKeown in the NLP Group at Columbia University. My thesis focused on Automatically Detecting Influencer in Online Discussions. My research in this area has included predicting the author traits of participants in a discussion, opinion detection, and identifying agreement, persuasion, claims, and influencers in weblogs, micro-blogs, and discussion forums. I received my MS in Computer Science at Columbia University on the Machine Learning Track. Prior research at Columbia University, includes work on the Darpa GALE project and predicting future events using trouble tickets at Columbia University's Center for Computational Learning Systems for Con Edison. During my masters I interned at Google in New York City on the Sentiment Analysis team. I received my BS in Computer Science at Ramapo College of New Jersey where I did research in Rule Based Expert Systems for an Intelligent Tutor System.
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