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    NAACL
    2007
    155views Computational Linguistics» more  NAACL 2007»
    A Probabilistic Framework for Answer Selection in Question Answering
    13 years 9 months ago
    A Probabilistic Framework for Answer Selection in Question Answering
    Download  www.cs.purdue.edu
    This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...
    Jeongwoo Ko, Luo Si, Eric Nyberg
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    EMNLP
    2004
    108views Natural Language Processing» more  EMNLP 2004»
    Scaling Web-based Acquisition of Entailment Relations
    13 years 9 months ago
    Scaling Web-based Acquisition of Entailment Relations
    Download  acl.ldc.upenn.edu
    Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...
    Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventur...
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    MASCOTS
    2003
    94views Modeling And Simulation» more  MASCOTS 2003»
    Derivation of Passage-time Densities in PEPA Models using ipc: the Imperial PEPA Compiler
    13 years 9 months ago
    Derivation of Passage-time Densities in PEPA Models using ipc: the Imperial PEPA Compiler
    Download  homepages.inf.ed.ac.uk
    We present a technique for defining and extracting passage-time densities from high-level stochastic process algebra models. Our high-level formalism is PEPA, a popular Markovian...
    Jeremy T. Bradley, Nicholas J. Dingle, Stephen T. ...
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    BIS
    2009
    116views Business» more  BIS 2009»
    Federated Product Search with Information Enrichment Using Heterogeneous Sources
    13 years 9 months ago
    Federated Product Search with Information Enrichment Using Heterogeneous Sources
    Download  www.rn.inf.tu-dresden.de
    Since the Internet found its way into daily life, placing product information at the user's disposal has become one of its most important tasks. As information sources are ver...
    Maximilian Walther, Daniel Schuster, Alexander Sch...
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    ICALT
    2007
    IEEE
    129views Machine Learning» more  ICALT 2007»
    Cognitive Trait Model and Divergent Associative Learning
    13 years 8 months ago
    Cognitive Trait Model and Divergent Associative Learning
    Download  sgraf.athabascau.ca
    Cognitive trait model (CTM) is a student model that aims to create profiles of learners’ cognitive traits. Divergent associative learning (DAL) denotes the characteristic of lea...
    Taiyu Lin, Kinshuk, Sabine Graf
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