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Disambiguation of "Katz, Graham"

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Representing Temporal and Event Knowledge for QA Systems.

, , , , , , , and . New Directions in Question Answering, page 99-112. AAAI Press, (2004)

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Graham Wade

Graham Frost

Robert Graham

Graham Tebb

Sandra Graham

 

Other publications of authors with the same name

TimeML: Robust Specification of Event and Temporal Expressions in Text., , , , , , , and . New Directions in Question Answering, page 28-34. AAAI Press, (2003)The Specification Language TimeML., , , , , , , , and . The Language of Time - A Reader, Oxford University Press, (2005)Planned Protest Modeling in News and Social Media., , , , , , and . AAAI, page 3920-3927. AAAI Press, (2015)Extracting and modeling durations for habits and events from Twitter., and . ACL (2), page 223-227. The Association for Computer Linguistics, (2012)05151 Abstracts Collection - Annotating, Extracting and Reasoning about Time and Events., , and . Annotating, Extracting and Reasoning about Time and Events, volume 05151 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, (2005)'Beating the news' with EMBERS: forecasting civil unrest using open source indicators., , , , , , , , , and 20 other author(s). KDD, page 1799-1808. ACM, (2014)EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System., , , , , , , , , and 8 other author(s). KDD, page 205-214. ACM, (2016)Manner modification of state verbs.. Adjectives and Adverbs, volume 20 of Oxford Studies in Theoretical Linguistics, Oxford University Press, (2008)Automatic identification of non-compositional multi-word expressions using latent semantic analysis, and . Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties, page 12--19. (2006)'Beating the News' with EMBERS: Forecasting Civil Unrest Using Open Source Indicators, , , , , , , , , and 20 other author(s). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1799--1808. New York, NY, USA, ACM, (2014)