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    ACL
    2015
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    Semantic Role Labeling Improves Incremental Parsing
    9 years 11 months 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
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    Towards Debugging Sentiment Lexicons
    9 years 11 months 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
    9 years 11 months ago
    IWNLP: Inverse Wiktionary for Natural Language Processing
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    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
    9 years 11 months 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
    9 years 11 months 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
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    Learning Representations for Text-level Discourse Parsing
    9 years 11 months ago
    Learning Representations for Text-level Discourse Parsing
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    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
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    Learning Lexical Embeddings with Syntactic and Lexicographic Knowledge
    9 years 11 months 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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    ACL
    2015
    25views Computational Linguistics» more  ACL 2015»
    An analysis of the user occupational class through Twitter content
    9 years 11 months ago
    An analysis of the user occupational class through Twitter content
    Download  sites.sas.upenn.edu
    Social media content can be used as a complementary source to the traditional methods for extracting and studying collective social attributes. This study focuses on the predictio...
    Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos...
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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd
    9 years 11 months ago
    Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd
    Download  aclweb.org
    In this paper, we address the problem of evaluating spontaneous speech using a combination of machine learning and crowdsourcing. Machine learning techniques inadequately solve th...
    Vinay Shashidhar, Nishant Pandey, Varun Aggarwal
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    ACL
    2015
    20views Computational Linguistics» more  ACL 2015»
    End-to-end Argument Generation System in Debating
    9 years 11 months ago
    End-to-end Argument Generation System in Debating
    Download  aclweb.org
    We introduce an argument generation system in debating, one that is based on sentence retrieval. Users can specify a motion such as This house should ban gambling, and a stance on...
    Misa Sato, Kohsuke Yanai, Toshinori Miyoshi, Toshi...
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