词条 | Rada Mihalcea |
释义 |
| name = Rada Mihalcea | birth_place = Cluj-Napoca, Romania | known_for = {{plainlist|
}} | education = Technical University of Cluj-Napoca (1992), Southern Methodist University (1999,2001), Oxford University (2010) | occupation = Professor at University of Michigan }} Rada Mihalcea is a professor of computer science and engineering at the University of Michigan. Her research focuses on natural language processing, multimodal processing, and computational social science. CareerRada Mihalcea has a Ph.D. in Computer Science and Engineering from Southern Methodist University (2001) and a Ph.D. in Linguistics, Oxford University (2010). In 2017 she was named Director of the Artificial Intelligence Laboratory at University of Michigan, Computer Science and Engineering. In 2018 Rada Mihalcea was elected as new VP for the Association for Computational Linguistics (ACL). Currently 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[1]. Mihalcea has published over 220 articles since 1998 on topics ranging from semantic analysis of text to lie detection.[2] President Barack Obama granted her the Presidential Early Career Award for Scientists and Engineers in 2008.[3] 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 behavior, to include student life, personality and background outside of the classroom.[4] 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.[5][6][7] AwardsSarah Goddard Power Award, 2019.[8] Carol Hollenshead Award, 2018.[9] Honorary Citizen of Cluj-Napoca, Romania, 2013. Presidential Early Career Award for Scientists and Engineers (PECASE), 2009. Awarded by President Barack Obama.[10]ResearchRada 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.[11] In a study of video clips of high profile court cases, a computer was more accurate at detecting deception than human judges.[12][13][14] Mihalcea's lie-detection software uses machine learning techniques to analyze video clips of actual trials.[15] 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.[16] 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.[16][17] 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.[18] Beyond the courtroom, Mihalcea says, the software could be adapted for job interviews. But she notes there are still improvements to be made — in particular to account for cultural and demographic differences.[16] 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.[19] In 2018 Rada Mihalcea and her collaborators also 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%.[20] Media[https://www.youtube.com/watch?v=ZH6fbQ9YJkw Spotting Fake News. One Detroit Clip.] Freakonomics Radio Live: “We Thought of a Way to Manipulate Your Perception of Time.” [https://www.michigandaily.com/section/campus-life/panel-looks-strategies-detecting-regulating-fake-news-speakers-convened-rackham Panel examines strategies for detecting, regulating fake news.] The Michigan Daily. 2016 MIDAS Symposium. [https://www.youtube.com/watch?v=Fjr_Inn4Szs&t=7s Learning Analytics with a Personal Touch]. External Links[https://web.eecs.umich.edu/~mihalcea/ Professional website] [https://scholar.google.com/citations?hl=en&user=UetM7FgAAAAJ&view_op=list_works&sortby=pubdate Google Scholar Profile] LIT Group[https://web.eecs.umich.edu/~mihalcea/papers.html Selected publications]Books
Journals and conferences
References1. ^{{Cite web|url=http://lit.eecs.umich.edu/|title=Language Information and Technologies|website=lit.eecs.umich.edu|access-date=2019-03-07}} {{Authority control}}{{DEFAULTSORT:Mihalcea, Rada}}2. ^{{cite web | url = https://www.semanticscholar.org/author/Rada-Mihalcea/1738516 | title = Rada Mihalcea | publisher = Semantic Scholar | accessdate = 2017-08-30}} 3. ^{{cite web|url = https://www.nsf.gov/news/news_summ.jsp?cntn_id=115171 | title = President Honors Outstanding Early-Career Scientists | publisher = National Science Foundation | accessdate = 2017-08-30}} 4. ^{{cite web|url = https://campustechnology.com/articles/2016/06/23/u-michigan-midas-program-backs-student-success-research.aspx?admgarea=News | title = U Michigan MIDAS Program Backs Student Success Research | publisher = Campus Technology | accessdate = 2016-06-23}} 5. ^{{Cite web|url=http://girlsencoded.eecs.umich.edu/|title=Girls Encoded|website=girlsencoded.eecs.umich.edu|access-date=2019-03-07}} 6. ^{{Cite web|url=https://www.eecs.umich.edu/eecs/about/articles/2019/mihalcea-goddard-power.html|title=Making a difference for women in academia|website=University of Michigan EECS|language=en|access-date=2019-03-07}} 7. ^{{Cite web|url=https://www.eecs.umich.edu/eecs/about/articles/2018/mihalcea-cew.html|title=A champion for women in computer science|website=University of Michigan EECS|language=en|access-date=2019-03-07}} 8. ^{{Cite web|url=https://record.umich.edu/tags/sarah-goddard-power-award|title=Sarah Goddard Power Award|website=The University Record|access-date=2019-03-07}} 9. ^{{Cite web|url=http://www.cew.umich.edu/carol-hollenshead-award/|title=Carol Hollenshead Award {{!}} Center for the Education of Women {{!}} University of Michigan|website=www.cew.umich.edu|access-date=2019-03-07}} 10. ^{{Cite web|url=https://www.nsf.gov/news/news_summ.jsp?cntn_id=115171|title=President Honors Outstanding Early-Career Scientists {{!}} NSF - National Science Foundation|website=www.nsf.gov|access-date=2019-03-07}} 11. ^{{cite web|url = http://www.topnews.in/researchers-develop-new-liedetecting-software-2406304 | title = Researchers Develop New Lie-Detecting Software | publisher = Topnews.in | accessdate = 2015-12-16}} 12. ^{{cite web|url = http://www.nzherald.co.nz/lifestyle/news/article.cfm?c_id=6&objectid=11791719&ref=rss | title = Can you spot a liar? Fail safe ways to determine if someone is telling the truth | publisher = New Zealand Herald | accessdate = 2017-01-30}} 13. ^{{cite web|url = http://www.albanydailystar.com/science/new-developed-software-can-detect-lie-with-%75-success-baltimore-news-13777.html | title = New Developed Software can detect lie with %75 success – Baltimore News | publisher = Albany Daily Star | accessdate = 2016-08-17}} 14. ^{{cite web|url = http://qz.com/572675/to-spot-a-liar-look-at-their-hands/ | title = To spot a liar, look at their hands | publisher = Quartz | accessdate = 2015-12-12}} 15. ^{{cite web|url = http://www.gizmag.com/courtroom-lie-detection-software/40880/ | title = Courtroom fibs used to develop lie-detecting software | publisher = Gizmag | accessdate = 2015-12-12}} 16. ^1 2 {{cite web | url = http://www.michigandaily.com/section/news/researchers-pioneer-new-lie-detection-software | title = University professors create new software to detect lies | publisher = Michigan Daily | accessdate = 2015-12-11}} 17. ^{{cite web|url = http://www.medicaldaily.com/liar-liar-pants-fire-6-signs-computers-use-spot-liars-75-accuracy-365374 | title = Liar, Liar Pants On Fire: 6 Signs Computers Use To Spot Liars With 75% Accuracy | publisher = Medical Daily | accessdate = 2015-12-16}} 18. ^{{cite web|url = https://www.yahoo.com/health/5-ways-to-tell-if-someone-is-lying-to-you-174733710.html?src=rss | title = 5 Ways to Tell If Someone is Lying to You | publisher = Yahoo! Health | accessdate = 2015-12-15}} 19. ^{{cite web|url = http://post.jagran.com/new-software-analysis-words-gestures-to-detect-lies-1449819565 | title = New software analysis words, gestures to detect lies. | publisher = Jagran Post | accessdate = 2015-12-11}} 20. ^{{Cite web|url=https://news.umich.edu/fake-news-detector-algorithm-works-better-than-a-human/|title=Fake news detector algorithm works better than a human|date=2018-08-21|website=University of Michigan News|language=en-US|access-date=2019-03-26}} 5 : Women computer scientists|Machine learning researchers|Living people|University of Michigan faculty|Year of birth missing (living people) |
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