Sara Rosenthal  Sara Rosenthal photo       

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA

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Professional Associations

Professional Associations:  Association for Computational Linguistics

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I am a research staff member in the NLP Health and Life Sciences group working on Question Answering in the medical domain.

I am a co-organizer of the popular SemEval Task, "Sentiment Analysis in Twitter" that ran from 2013-2017.

Prior to joining IBM, my interests focused in applying Natural Language Processing to study Sociolinguistics in Social Media. I received my PhD in July 2015 from Columbia University under the advisement of Kathleen McKeown. My thesis was titled "Detecting Influencers in Social Media Discussions". This work included predicting demographics, opinion, agreement, persuasion, claims, and influencers in weblogs, micro-blogs, and discussion forums.

I previously worked on GALE, a Question/Answering System involving Machine Translation where I maintained the pipeline and various services. During my undergraduate degree I did research in using Rule Based Expert Systems for an Intelligent Tutor System at Ramapo College with Dr. Amruth Kumar

 

 

 

 

 

 

I am a Research Staff Member in the Natural Language Analytics Group in Health and Life Sciences at IBM Research (http://researcher.ibm.com/researcher/view.php?person=us-sjrosenthal). My team focuses on Decision Support Question Answering (http://researcher.ibm.com/researcher/view_group.php?id=7593) in the medical domain. I am also working on some other projects at IBM that touch on my interests in Computational Social Science. I am 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. Specialties: I have experience with the following programming languages: Java, Perl, Python, JSP, PHP, MySQL, HTML, JavaScript, MATLAB, C/C++, STL, C#

Current and Prior Positions

IBM
Research Staff Member
8/2015 - Present