Mitra Mohtarami

Research Scientist

Email

mitra@csail.mit.edu

Room

Mitra Mohtarami is a Research Scientist in the Computer Science and Artificial Intelligence Laboratory at MIT. She is a member of MIT's Spoken Language Systems Group, directed by Dr. James Glass. She received her PhD in Computer Science from the National University of Singapore in Dec 2013, and worked as a Research Scientist at the Institute for Infocomm Research (I2R) from Nov 2013 to Aug 2014, and joined MIT as a Postdoctoral Associate in Sep 2014. She has been the recipient of several awards including the Dean's Graduate Research Excellent Award (2013), Outstanding Research Achievement Award (2012), NUS Scholarship Award (2009-2013), and others. Mitra's primary research centers on Natural Language Processing and some of her recent projects include open-ended question answering, fact checking, sentiment and emotion analysis.

Research Areas

AI & ML

Impact Areas

Big Data

Projects

Project

Arabic Language Processing

Spoken Language Systems Group

The Arabic language is spoken by over one billion people around the world. Arabic presents a variety of challenges for speech and language processing technologies. In our group, we have several research topics examining Arabic, including dialect identification, speech recognition, machine translation, and language processing.

Mitra Mohtarami

Leads

Mitra Mohtarami

Research Areas

AI & ML

Human-Computer Interaction

Mitra Mohtarami

Project

Community Question Answering

Spoken Language Systems Group

Our main goal is to automatically search for relevant answers among many responses provided for a given question (Answer Selection), and search for relevant questions to reuse their existing answers (Question Retrieval).

Mitra Mohtarami

Leads

Mitra Mohtarami

Research Areas

AI & ML

Impact Areas

Big Data

Mitra Mohtarami

Project

Fact-Checking and Reasoning

Spoken Language Systems Group

Our main goal is to develop fact checking algorithms that can assess the credibility of claims mentioned in the textual statements and provide interpretable valid evidence that explains why a certain claim is considered as factually true or fake.