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I am a Ph.D. candidate in the Computer Science and Engineering department, studying Artificial Intelligence.
My current research focus is on leveraging large knowledge bases (e.g., Freebase & Wikipedia) to improve the processing of open-domain Web text corpora (e.g., ReVerb extractions & search query logs).
My research enables exciting applications of Web text corpora in areas such as Knowledge Acquisition, Commonsense Reasoning, Search, Question Answering, and NLP.
My advisor is Oren Etzioni. I am supported by the Turing Center and an NDSEG fellowship.
Prior to UW, I worked for over three years at Lockheed Martin ATL's AI Lab. I had leadership roles in a R&D project on designing a scalable architecture for integrating stovepiped AI techniques. I also worked on several DARPA contracts (e.g., writing software agents for the Navy).
I earned a Master's degree in Electrical Engineering and Computer Science from MIT in June 2004. My Master's Thesis under Professor Hal Abelson and Professor Dick Yue demonstrated an automated teaching algorithm that can effectively tailor presentations to learning styles.
I earned a Bachelor's degree in Computer Science and Engineering from MIT in 2003. My undergraduate research was in Common Sense Reasoning with Push Singh in Marvin Minsky's group at the MIT Media Lab. The project collected 100k+ commonsense statements from internet volunteers, and I worked on how to reason using this data and how to rapidly collect more data.
Publications:
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Active Objects: Actions for Entity-Centric Search Thomas Lin, Patrick Pantel, Michael Gamon, Anitha Kannan, Ariel Fuxman 21st International World Wide Web Conference (WWW 2012) |
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No Search Result Left Behind: Branching Behavior with Browser Tabs Jeff Huang, Thomas Lin, Ryen White 5th ACM International Conference on Web Search and Data Mining (WSDM 2012) |
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Commonsense from the Web: Relation Properties Thomas Lin, Mausam, Oren Etzioni AAAI Fall Symposium on Commonsense (CSK 2010) |
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Identifying Functional Relations in Web Text Thomas Lin, Mausam, Oren Etzioni Conference on Empirical Methods in Natural Language Processing (EMNLP 2010) |
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Machine Reading at the University of Washington Hoifung Poon, Janara Christensen, Pedro Domingos, Oren Etzioni, Raphael Hoffmann, Chloe Kiddon, Thomas Lin, Xiao Ling, Mausam, Alan Ritter, Stefan Schoenmackers, Stephen Soderland, Dan Weld, Fei Wu, and Congle Zhang Workshop on Formalisms and Methodology for Learning by Reading (FAM-LbR) at NAACL 2010 |
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Identifying Interesting Assertions from the Web Thomas Lin, Oren Etzioni, James Fogarty 18th ACM Conference on Information and Knowledge Management (CIKM 2009) |
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Filtering Information Extraction via User-Contributed Knowledge Thomas Lin, Oren Etzioni, James Fogarty User-Contributed Knowledge and Artificial Intelligence: An Evolving Synergy (WikiAI09) at IJCAI 2009 |
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Open Mind Common Sense: Knowledge Acquisition from the General Public Push Singh, Thomas Lin, Erik T. Mueller, Grace Lim, Travell Perkins and Wan Li Zhu 1st International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems (ODBASE 2002) |
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Analogical Inference over a Common Sense Database Thomas Lin 18th National Conference on Artificial Intelligence (AAAI 2002) |
TextRunner Salient Attributes (CSE 573) Word Sense Disambiguation with Images (w/Janara Christensen, Tony Fader) (CSE 510) Knowledge Guided Schema Discovery (w/Cynthia Matuszek) (CSE 544) Finding Interesting Tuples with Human Computation (KIA Meeting) Using AI to Identify Interesting Assertions (NPUC 2008) Concept Relator - Find the relation between two concepts Tic Tac Toe Program using MiniMax with Alpha-Beta Pruning Simple Eliza Implementation Context Aware Computing Final Project - MBTI Scheduler Intro to Artificial Intelligence Project #1 - Cgi/A* TA Allocator
Last updated February 25, 2012.