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    ACL
    2012
    176views Computational Linguistics» more  ACL 2012»
    Finding Bursty Topics from Microblogs
    12 years 12 months ago
    Finding Bursty Topics from Microblogs
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    Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
    Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim
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    ICWSM
    2009
    108views Internet Technology» more  ICWSM 2009»
    Detecting Topic Drift with Compound Topic Models
    14 years 7 months ago
    Detecting Topic Drift with Compound Topic Models
    Download  thepublicvoid.com
    Dan Knights, Michael C. Mozer, Nicolas Nicolov
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    ACL
    2011
    225views Computational Linguistics» more  ACL 2011»
    Structural Topic Model for Latent Topical Structure Analysis
    14 years 1 months ago
    Structural Topic Model for Latent Topical Structure Analysis
    Download  sifaka.cs.uiuc.edu
    Hongning Wang, Duo Zhang, ChengXiang Zhai
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    ACL
    1998
    180views Computational Linguistics» more  ACL 1998»
    Context Management with Topics for Spoken Dialogue Systems
    14 years 10 months ago
    Context Management with Topics for Spoken Dialogue Systems
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    In this paper we discuss the use of discourse context in spoken dialogue systems and argue that the knowledge of the domain, modelled with the help of dialogue topics is important...
    Kristiina Jokinen, Hideki Tanaka
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    COLING
    2010
    169views Computational Linguistics» more  COLING 2010»
    Best Topic Word Selection for Topic Labelling
    14 years 4 months ago
    Best Topic Word Selection for Topic Labelling
    Download  www.aclweb.org
    This paper presents the novel task of best topic word selection, that is the selection of the topic word that is the best label for a given topic, as a means of enhancing the inte...
    Jey Han Lau, David Newman, Sarvnaz Karimi, Timothy...
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