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    EMNLP
    2009
    100views Natural Language Processing» more  EMNLP 2009»
    Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns
    13 years 10 months ago
    Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns
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    One of the most desired information types when planning a trip to some place is the knowledge of transport, roads and geographical connectedness of prominent sites in this place. ...
    Dmitry Davidov, Ari Rappoport
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    EMNLP
    2009
    163views Natural Language Processing» more  EMNLP 2009»
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    13 years 10 months ago
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
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    We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
    David A. Smith, Jason Eisner
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Classifying Relations for Biomedical Named Entity Disambiguation
    13 years 10 months ago
    Classifying Relations for Biomedical Named Entity Disambiguation
    Download  personalpages.manchester.ac.uk
    Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task...
    Xinglong Wang, Jun-ichi Tsujii, Sophia Ananiadou
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    EMNLP
    2009
    151views Natural Language Processing» more  EMNLP 2009»
    Chinese Novelty Mining
    13 years 10 months ago
    Chinese Novelty Mining
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    Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocess...
    Yi Zhang, Flora S. Tsai
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    EMNLP
    2009
    133views Natural Language Processing» more  EMNLP 2009»
    Graded Word Sense Assignment
    13 years 10 months ago
    Graded Word Sense Assignment
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    Word sense disambiguation is typically phrased as the task of labeling a word in context with the best-fitting sense from a sense inventory such as WordNet. While questions have o...
    Katrin Erk, Diana McCarthy
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    EMNLP
    2009
    144views Natural Language Processing» more  EMNLP 2009»
    Latent Document Re-Ranking
    13 years 10 months ago
    Latent Document Re-Ranking
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    Dong Zhou, Vincent Wade
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    EMNLP
    2009
    107views Natural Language Processing» more  EMNLP 2009»
    Learning Linear Ordering Problems for Better Translation
    13 years 10 months ago
    Learning Linear Ordering Problems for Better Translation
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    Roy W. Tromble, Jason Eisner
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    EMNLP
    2009
    85views Natural Language Processing» more  EMNLP 2009»
    Multi-Word Expression Identification Using Sentence Surface Features
    13 years 10 months ago
    Multi-Word Expression Identification Using Sentence Surface Features
    Download  www.cs.huji.ac.il
    Much NLP research on Multi-Word Expressions (MWEs) focuses on the discovery of new expressions, as opposed to the identification in texts of known expressions. However, MWE identi...
    Ram Boukobza, Ari Rappoport
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    EMNLP
    2009
    177views Natural Language Processing» more  EMNLP 2009»
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
    13 years 10 months ago
    Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
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    We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
    Matti Kääriäinen
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    EMNLP
    2009
    102views Natural Language Processing» more  EMNLP 2009»
    Language Models Based on Semantic Composition
    13 years 10 months ago
    Language Models Based on Semantic Composition
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    In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
    Jeff Mitchell, Mirella Lapata
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