Dan Roth
{{Short description|Professor of Computer Science at University of Pennsylvania}}
{{Infobox scientist
| name = Dan Roth
| native_name = דן רוט
| native_name_lang = he
| image = Roth dan-057(web).jpg
| caption = Dan Roth, 2011
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| birth_place = Haifa, Israel
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| workplaces = University of Illinois at Urbana-Champaign, University of Pennsylvania
| alma_mater = Harvard University
| doctoral_advisor = Leslie Valiant
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| known_for = Joint Learning and Inference: ILP formulations of NLP tasks...,[http://www.aclweb.org/aclwiki/index.php?title=Constrained_Conditional_Model Constrained Conditional Models] Machine Learning for NLP, Probabilistic Reasoning
| awards = ACM Fellow; IJCAI John McCarthy Award {{Cite web|url=https://ijcai-17.org/awards.html|title=Welcome to IJCAI 2017!}}{{Cite web|url=https://cs.illinois.edu/news/roth-honored-ijcai-john-mccarthy-award|title=Roth honored with the IJCAI John McCarthy Award}}
| website = {{URL|http://www.cis.upenn.edu/~danroth}}
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| field = Computer Science, Machine Learning, Natural Language Processing, Automated reasoning, Information Extraction.
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Dan Roth ({{Langx|he|דן רוט}}) is the Eduardo D. Glandt Distinguished Professor of Computer and Information Science at the University of Pennsylvania{{Cite web|url=http://www.seas.upenn.edu/directory/profile.php?ID=233|title=Penn Engineering - Research Directory Profile|website=www.seas.upenn.edu|access-date=2017-08-29}} and the Chief AI Scientist at Oracle. Until June 2024 Roth was a VP and distinguished scientist at AWS AI. In his role at AWS, Roth led over the last three years the scientific effort behind the first-generation Generative AI products from AWS, including Titan Models, Amazon Q efforts, and Bedrock, from inception until they became generally available.
Roth got his B.A. summa cum laude in mathematics from the Technion, Israel, and his Ph.D. in computer science from Harvard University in 1995.{{Cite web |url=http://l2r.cs.uiuc.edu/ |title=Dan Roth's Webpage |access-date=2016-01-09 |archive-date=2016-01-08 |archive-url=https://web.archive.org/web/20160108011505/http://l2r.cs.uiuc.edu/ |url-status=dead }} He taught at the University of Illinois at Urbana-Champaign from 1998 to 2017 before moving to the University of Pennsylvania.{{Cite web|url=http://l2r.cs.uiuc.edu/|title=Dan Roth - Main Page|website=l2r.cs.uiuc.edu|access-date=2017-08-29|archive-date=2017-08-26|archive-url=https://web.archive.org/web/20170826174638/http://l2r.cs.uiuc.edu/|url-status=dead}}
Professional career
Roth is a Fellow of the American Association for the Advancement of Science (AAAS),[http://membercentral.aaas.org/fellows AAAS List of Fellows] {{webarchive |url=https://web.archive.org/web/20140727124856/http://membercentral.aaas.org/fellows |date=July 27, 2014 }} the Association for Computing Machinery (ACM),{{Cite web |url=http://awards.acm.org/fellow/all.cfm |title=ACM Fellows |access-date=2016-01-09 |archive-date=2016-12-01 |archive-url=https://web.archive.org/web/20161201132101/http://awards.acm.org/fellow/all.cfm |url-status=dead }} the Association for the Advancement of Artificial Intelligence (AAAI),[http://www.aaai.org/Awards/fellows-list.php AAAI List of Fellows] and the Association of Computational Linguistics (ACL).[http://aclweb.org/aclwiki/index.php?title=ACL_Fellows ACL Fellows]
Roth’s research[http://cogcomp.org/page/publications/ Dan Roth's Publication Page] focuses on the computational foundations of intelligent behavior. He develops theories and systems pertaining to intelligent behavior using a unified methodology, at the heart of which is the idea that learning has a central role in intelligence. His work centers around the study of machine learning and inference methods to facilitate natural language understanding. In doing that he has pursued several interrelated lines of work that span multiple aspects of this problem - from fundamental questions in learning and inference and how they interact,R. Khardon and D. Roth,[http://cogcomp.org/papers/l2rJ.pdf Learning to Reason], Journal of the ACM (1997) to the study of a range of natural language processing (NLP) problems and developing advanced machine learning based tools for natural language applications.[http://cogcomp.org/page/demos/ Cognitive Computation Group Demo Page]
Roth has made seminal contribution to the fusion of Learning and Reasoning,D. Roth,[http://cogcomp.org/papers/approach.pdf Learning to Reason: The Approach], (1996) Machine Learning with weak, incidental supervision,D. Roth,[http://cogcomp.org/papers/Roth-AAAI17-incidental-supervision.pdf Incidental Supervision], AAAI (2017) and to machine learning and inference approaches to natural language understanding. He has written the first paper on zero-shot learning in natural language processing, a 2008 paper by Chang, Ratinov, Roth, and Srikumar that was published at AAAI’08, but the name given to the learning paradigm there was dataless classification.{{cite journal |last1=Chang |first1=M.W. |date=2008 |title=Importance of Semantic Representation: Dataless Classification |url=https://citeseerx.ist.psu.edu/document?doi=ee0a332b4fc1e82a9999acd6cebceb165dc8645b |journal=AAAI}} Roth has worked on probabilistic reasoning (including its complexityD. Roth, [http://cogcomp.org/papers/hardJ.pdf D. Roth, On the hardness of approximate reasoning], Artificial Intelligence (1996) and probabilistic lifted inference R. de Salvo Braz, E. Amir and D. Roth, [http://cogcomp.org/papers/BrazAmRo05.pdf Lifted First-Order Probabilistic Inference], IJCAI, 2005.), Constrained Conditional Models (ILP formulations of NLP problems) and constraints-driven learning,M. Chang and L. Ratinov and D. Roth, [http://cogcomp.org/papers/ChangRaRo12.pdf Structured Learning with Constrained Conditional Models], Machine Learning (2012)D. Roth and W. Yih, [http://cogcomp.org/papers/RothYi04.pdf A Linear Programming Formulation for Global Inference in Natural Language Tasks], CoNLL (2004) part-based (constellation) methods in object recognition,S. Agarwal and A. Awan and D. Roth, [http://cogcomp.org/papers/AgarwalAwRo04.pdf Learning to Detect Objects in Images via a Sparse, Part-Based Representation], IEEE Transactions on PAMI (2004) response based Learning,J. Clarke and D. Goldwasser and M. Chang and D. Roth, [http://cogcomp.org/papers/CGCR10.pdf Driving Semantic Parsing from the World's Response], CoNLL (2010) He has developed NLP and Information extraction tools that are being used broadly by researchers and commercially, including NER, coreference resolution, wikification, SRL, and ESL text correction.
Roth is a co-founder of NexLP, Inc., a startup that applies natural language processing and machine learning in the legal and compliance domains. In 2020, NexLP was acquired by Reveal, Inc., an e-discovery software company.{{Cite press release |title=Reveal Acquires NexLP to become the leading AI-powered eDiscovery Solution |url=https://www.prnewswire.com/in/news-releases/reveal-acquires-nexlp-to-become-the-leading-ai-powered-ediscovery-solution-844046460.html}} He is currently on the scientific advisory board of the Allen Institute for AI.{{Cite web |title=Scientific Advisory Board — Allen Institute for AI |url=https://allenai.org/scientific-advisory-board |access-date=2023-12-06 |website=allenai.org |language=en}}
References
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Category:Year of birth missing (living people)
Category:Harvard University alumni
Category:Israeli computer scientists
Category:University of Illinois Urbana-Champaign faculty
Category:Fellows of the American Association for the Advancement of Science
Category:Technion – Israel Institute of Technology alumni
Category:2011 fellows of the Association for Computing Machinery
Category:Fellows of the Association for the Advancement of Artificial Intelligence
Category:Fellows of the Association for Computational Linguistics
Category:Natural language processing researchers
Category:Artificial intelligence researchers
Category:Machine learning researchers
Category:University of Pennsylvania Department of Computer and Information Science faculty