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Rada Mihalcea
Rada Mihalcea
	Mihalcea at Bob and Betty Beyster Building, University of Michigan
Born	Cluj-Napoca, Romania
Education	Technical University of Cluj-Napoca (1992), Southern Methodist University (1999, 2001), Oxford University (2010)
Occupation	Professor at University of Michigan
Known for	TextRank Algorithm; Natural Language Processing; Computational Social Science; Multimodal Interaction;

Rada Mihalcea is the Janice M. Jenkins Collegiate Professor of Computer Science and Engineering at the University of Michigan. She has made contributions to natural language processing, multimodal processing, and computational social science. With Paul Tarau, she is the co-inventor of TextRank Algorithm,^[1] which is widely used for text summarization.

Career

Mihalcea has a Ph.D. in Computer Science and Engineering from Southern Methodist University (2001) and a Ph.D. in Linguistics, Oxford University (2010).^[2] In 2017 she was named Director of the Artificial Intelligence Laboratory at University of Michigan, Computer Science and Engineering. In 2018, Mihalcea was elected as new VP for the Association for Computational Linguistics (ACL). She is a professor of Computer Science and Engineering at the University of Michigan, where she also leads the Language and Information Technologies (LIT) Lab.^[3]

A prolific researcher, Mihalcea has authored or coauthored over 350 articles since 1998 on topics ranging from semantic analysis of text to lie detection.^[4] Her work has been cited over 40,000 times on Google Scholar, which made her one of the most cited scholars in Multimodal Interation and Computational Social Science.^[5]

In 2008, Mihalcea received the Presidential Early Career Award for Scientists and Engineers (PECASE)^[6] She is an ACM Fellow (since 2019) and AAAI Fellow (since 2021).

Mihalcea is an outspoken promoter of diversity in computer science. She also supports an expansion of the traditional analysis of educational success, which tends to focus on academic behaviour, to include student life, personality and background outside of the classroom.^[7] Mihalcea leads Girls Encoded, a program designed to develop the pipeline of women in computer science as well as to retain the women who have entered into the program.^[8]^[9]^[10]

Awards

AAAI Fellow, 2021 "for significant contributions to natural language processing and computational social science".
ACM Fellow, 2019 "for contributions to natural language processing, with innovations in data-driven and graph-based language processing".^[11]
Sarah Goddard Power Award, 2019.^[12]
Carol Hollenshead Award, 2018.^[13]
Presidential Early Career Award for Scientists and Engineers (PECASE), 2009. Awarded by President Barack Obama.^[14]

Research

Mihalcea is known for her research in natural language processing, multimodal processing, computational social sciences. In a collaboration she leads at the University of Michigan, Mihalcea has created software that can detect human lying.^[15] In a study of video clips of high profile court cases, a computer was more accurate at detecting deception than human judges.^[16]^[17]^[18]

Mihalcea's lie-detection software uses machine learning techniques to analyze video clips of actual trials.^[19] In her 2015 study, the team used clips from The Innocence Project, a national organization that works to reexamine cases where individuals were tried without the benefit of DNA testing with the aim of exonerating wrongfully convicted individuals.^[20] After identifying common human gestures, they transcribed the audio from the video clips of trials and analyzed how often subjects labeled deceptive used various words and phrases. The system was 75% accurate in identifying which subjects were deceptive among 120 videos.^[20]^[21] That puts Mihalcea’s algorithm on par with the most commonly accepted form of lie detection, polygraph tests, which are roughly 85 percent accurate when testing guilty people and 56 percent accurate when testing the innocent.^[22] She notes there are still improvements to be made — in particular to account for cultural and demographic differences.^[20] A possibly unique advantage of Mihalcea's study was the real world, high stakes nature of the footage analyzed in the study. In laboratory experiments, it is difficult to create a setting that motivates people to truly lie.^[23]

In 2018, Mihalcea and her collaborators worked on an algorithm-based system that identifies linguistic cues in fake news stories. It successfully found fakes up to 76% of the time, compared to a human success rate of 70%.^[24]

Publications

Books

Rada Mihalcea and Dragomir Radev, Graph-based Natural Language Processing and Information Retrieval, Cambridge U. Press, 2011.
Gabe Ignatow and Rada Mihalcea, Text Mining: A Guidebook for the Social Sciences, SAGE, 2016.
Gabe Ignatow and Rada Mihalcea, An Introduction to Text Mining: Research Design, Data Collection, and Analysis, SAGE, 2017.

Journals and conferences

Textrank: Bringing order into text. R. Mihalcea, P. Tarau. Proceedings of the 2004 conference on empirical methods in natural language processing. 2004
Corpus-based and knowledge-based measures of text semantic similarity. R. Mihalcea, C. Corley, C. Strapparava. AAAI 6, 775-780. 2006
Wikify!: linking documents to encyclopedic knowledge. R. Mihalcea, A. Csomai. Proceedings of the sixteenth ACM conference on Conference on information and information management. 2007
Learning to identify emotions in text. C. Strapparava, R. Mihalcea. Proceedings of the 2008 ACM symposium on Applied computing, 1556-1560. 2008
Semeval-2007 task 14: Affective text. C. Strapparava, R. Mihalcea. Proceedings of the Fourth International Workshop on Semantic Evaluations. 2007
Learning multilingual subjective language via cross-lingual projections. R. Mihalcea, C. Banea, J. Wiebe. Proceedings of the 45th annual meeting of the association of computational linguistics. 2007
Graph-based ranking algorithms for sentence extraction, applied to text summarization. R. Mihalcea. Proceedings of the ACL Interactive Poster and Demonstration Sessions. 2004
Falcon: Boosting knowledge for answer engines. S. Harabagiu, D. Moldovan, M. Pasca, R. Mihalcea, M. Surdeanu, Razvan Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu. TREC 9, 479-488. 2000
Measuring the semantic similarity of texts. C. Corley, R. Mihalcea. Proceedings of the ACL workshop on empirical modeling of semantic equivalence and entailment. 2005
R Mihalcea (2007). "Using wikipedia for automatic word-sense disambiguation". Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference. CiteSeerX 10.1.1.74.3561. - see also Word-sense disambiguation
Unsupervised graph-based word sense disambiguation using measures of word semantic similarity. R. Sinha, R. Mihalcea. International Conference on Semantic Computing (ICSC 2007), 363-369. 2007

Personal life

Mihalcea was born in Cluj-Napoca, Romania, where she attended the Technical University of Cluj-Napoca.

She can speak Romanian, English, Italian, and French.

Mihalcea has two children - Zara (b. 2009) and Caius (b. 2013). They were both born in Dallas, Texas.

She is married to an associate professor of engineering at the University of Michigan–Flint - Mihai Burzo. They met while they were both completing Ph.D.s at Southern Methodist University in 2001^[25] and have often collaborated on research,^[26] such as the 2015 study on lie detection.^[22]