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    EMNLP
    2011
    227views Natural Language Processing» more  EMNLP 2011»
    Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
    12 years 8 months ago
    Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
    Download  www.se.cuhk.edu.hk
    In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
    Peng Li, Yinglin Wang, Wei Gao, Jing Jiang
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    ICALT
    2009
    IEEE
    180views Machine Learning» more  ICALT 2009»
    On-demand Construction of Personalized Learning Experiences Using Semantic Web and Web 2.0 Techniques
    14 years 10 days ago
    On-demand Construction of Personalized Learning Experiences Using Semantic Web and Web 2.0 Techniques
    Download  www.capuano.biz
    Nowadays, the Semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of lear...
    Nicola Capuano, Matteo Gaeta, Francesco Orciuoli, ...
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    AAAI
    2007
    112views Intelligent Agents» more  AAAI 2007»
    Semantic Inference at the Lexical-Syntactic Level
    13 years 11 months ago
    Semantic Inference at the Lexical-Syntactic Level
    Download  www.aaai.org
    Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
    Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
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    AAAI
    2007
    70views Intelligent Agents» more  AAAI 2007»
    Learning Language Semantics from Ambiguous Supervision
    13 years 11 months ago
    Learning Language Semantics from Ambiguous Supervision
    Download  www.cs.utexas.edu
    This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
    Rohit J. Kate, Raymond J. Mooney
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    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    13 years 10 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
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