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Thomas Lin
Researcher at University of Washington
Publications - 19
Citations - 675
Thomas Lin is an academic researcher from University of Washington. The author has contributed to research in topics: Computer science & Web search query. The author has an hindex of 10, co-authored 13 publications receiving 613 citations. Previous affiliations of Thomas Lin include Microsoft.
Papers
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Proceedings Article
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
Thomas Lin,Oren Etzioni +1 more
TL;DR: This paper shows that once the Wikipedia entities mentioned in a corpus of textual assertions are linked, this can further enable the detection and fine-grained typing of the unlinkable entities.
Proceedings Article
Entity Linking at Web Scale
Thomas Lin,Oren Etzioni +1 more
TL;DR: This paper is the first to report on entity linking over this many extractions, and describes new opportunities (such as corpus-level features) and challenges that are found when entity linking at Web scale.
Proceedings ArticleDOI
Active objects: actions for entity-centric search
TL;DR: This paper introduces an entity-centric search experience, called Active Objects, in which entity-bearing queries are paired with actions that can be performed on entities, and proposes an evaluation methodology for measuring the relevance of the recommended actions.
Patent
Task completion for natural language input
Kevin Niels Stratvert,Yu-Ting Kuo,Andrew Paul Mcgovern,Xiao Wei,Gaurav S. Anand,Thomas Lin,Adam C. Lusch +6 more
TL;DR: In this article, a natural language input (e.g., "where should we eat") may be received from a user of a client device, and a set of user contextual signals, opted-in for exposure by the user for facilitating task completion, to identify a user task intent.
Proceedings Article
Mining Entity Types from Query Logs via User Intent Modeling
TL;DR: It is shown that modeling user intent significantly improves entity type resolution for head queries over the state of the art, on several metrics, without degradation in tail query performance.