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    ACL
    2015
    41views Computational Linguistics» more  ACL 2015»
    Transition-Based Dependency Parsing with Stack Long Short-Term Memory
    8 years 23 days ago
    Transition-Based Dependency Parsing with Stack Long Short-Term Memory
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    We propose a technique for learning representations of parser states in transitionbased dependency parsers. Our primary innovation is a new control structure for sequence-to-seque...
    Chris Dyer, Miguel Ballesteros, Wang Ling, Austin ...
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    ACL
    2015
    17views Computational Linguistics» more  ACL 2015»
    Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
    8 years 23 days ago
    Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser
    Download  www.aclweb.org
    Training a high-accuracy dependency parser requires a large treebank. However, these are costly and time-consuming to build. We propose a learning method that needs less data, bas...
    Long Duong, Trevor Cohn, Steven Bird, Paul Cook
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    ACL
    2015
    15views Computational Linguistics» more  ACL 2015»
    The Impact of Listener Gaze on Predicting Reference Resolution
    8 years 23 days ago
    The Impact of Listener Gaze on Predicting Reference Resolution
    Download  www.coli.uni-saarland.de
    We investigate the impact of listener’s gaze on predicting reference resolution in situated interactions. We extend an existing model that predicts to which entity in the enviro...
    Nikolina Koleva, Martin Villalba, Maria Staudte, A...
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    ACL
    2015
    20views Computational Linguistics» more  ACL 2015»
    Semantic Role Labeling Improves Incremental Parsing
    8 years 23 days ago
    Semantic Role Labeling Improves Incremental Parsing
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    Incremental parsing is the task of assigning a syntactic structure to an input sentence as it unfolds word by word. Incremental parsing is more difficult than fullsentence parsin...
    Ioannis Konstas, Frank Keller
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    ACL
    2015
    15views Computational Linguistics» more  ACL 2015»
    Towards Debugging Sentiment Lexicons
    8 years 23 days ago
    Towards Debugging Sentiment Lexicons
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    Central to many sentiment analysis tasks are sentiment lexicons (SLs). SLs exhibit polarity inconsistencies. Previous work studied the problem of checking the consistency of an SL...
    Andrew Schneider, Eduard C. Dragut
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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    IWNLP: Inverse Wiktionary for Natural Language Processing
    8 years 23 days ago
    IWNLP: Inverse Wiktionary for Natural Language Processing
    Download  www.aclweb.org
    Nowadays, there are a lot of natural language processing pipelines that are based on training data created by a few experts. This paper examines how the proliferation of the inter...
    Matthias Liebeck, Stefan Conrad 0001
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    ACL
    2015
    26views Computational Linguistics» more  ACL 2015»
    KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts
    8 years 23 days ago
    KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts
    Download  www.cs.cmu.edu
    Many existing knowledge bases (KBs), including Freebase, Yago, and NELL, rely on a fixed ontology, given as an input to the system, which defines the data to be cataloged in the...
    Dana Movshovitz-Attias, William W. Cohen
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    ACL
    2015
    19views Computational Linguistics» more  ACL 2015»
    Non-distributional Word Vector Representations
    8 years 23 days ago
    Non-distributional Word Vector Representations
    Download  www.cs.cmu.edu
    Data-driven representation learning for words is a technique of central importance in NLP. While indisputably useful as a source of features in downstream tasks, such vectors tend...
    Manaal Faruqui, Chris Dyer
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    ACL
    2015
    20views Computational Linguistics» more  ACL 2015»
    Learning Representations for Text-level Discourse Parsing
    8 years 23 days ago
    Learning Representations for Text-level Discourse Parsing
    Download  aclweb.org
    In the proposed doctoral work we will design an end-to-end approach for the challenging NLP task of text-level discourse parsing. Instead of depending on mostly hand-engineered sp...
    Gregor Weiss
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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge
    8 years 23 days ago
    Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge
    Download  aclweb.org
    We propose two improvements on lexical association used in embedding learning: factorizing individual dependency relations and using lexicographic knowledge from monolingual dicti...
    Tong Wang, Abdelrahman Mohamed, Graeme Hirst
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