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    ACL
    2015
    17views Computational Linguistics» more  ACL 2015»
    Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
    10 years 5 days ago
    Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
    Download  anthology.aclweb.org
    Le Quang Thang, Hiroshi Noji, Yusuke Miyao
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    ACL
    2015
    14views Computational Linguistics» more  ACL 2015»
    Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
    10 years 5 days ago
    Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
    Download  www.aclweb.org
    Zero-shot methods in language, vision and other domains rely on a cross-space mapping function that projects vectors from the relevant feature space (e.g., visualfeature-based ima...
    Angeliki Lazaridou, Georgiana Dinu, Marco Baroni
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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment
    10 years 5 days ago
    Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment
    Download  byron.ischool.utexas.edu
    Automatically detecting verbal irony (roughly, sarcasm) in online content is important for many practical applications (e.g., sentiment detection), but it is difficult. Previous ...
    Byron C. Wallace, Do Kook Choe, Eugene Charniak
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    ACL
    2015
    30views Computational Linguistics» more  ACL 2015»
    Addressing the Rare Word Problem in Neural Machine Translation
    10 years 5 days ago
    Addressing the Rare Word Problem in Neural Machine Translation
    Download  nlp.stanford.edu
    Neural Machine Translation (NMT) is a new approach to machine translation that has shown promising results that are comparable to traditional approaches. A significant weakness i...
    Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vin...
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    ACL
    2015
    25views Computational Linguistics» more  ACL 2015»
    Multi-domain Dialog State Tracking using Recurrent Neural Networks
    10 years 5 days ago
    Multi-domain Dialog State Tracking using Recurrent Neural Networks
    Download  mi.eng.cam.ac.uk
    Dialog state tracking is a key component of many modern dialog systems, most of which are designed with a single, welldefined domain in mind. This paper shows that dialog data dr...
    Nikola Mrksic, Diarmuid Ó Séaghdha, ...
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