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    EMNLP
    2006
    119views Natural Language Processing» more  EMNLP 2006»
    Feature Subsumption for Opinion Analysis
    13 years 6 months ago
    Feature Subsumption for Opinion Analysis
    Download  www.cs.pitt.edu
    Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, ph...
    Ellen Riloff, Siddharth Patwardhan, Janyce Wiebe
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    EMNLP
    2006
    94views Natural Language Processing» more  EMNLP 2006»
    Entity Annotation based on Inverse Index Operations
    13 years 6 months ago
    Entity Annotation based on Inverse Index Operations
    Download  acl.ldc.upenn.edu
    Entity annotation involves attaching a label such as `name' or `organization' to a sequence of tokens in a document. All the current rule-based and machine learningbased...
    Ganesh Ramakrishnan, Sreeram Balakrishnan, Sachind...
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    EMNLP
    2006
    99views Natural Language Processing» more  EMNLP 2006»
    Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
    13 years 6 months ago
    Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
    Download  www.cs.cornell.edu
    We investigate whether one can determine from the transcripts of U.S. Congressional floor debates whether the speeches represent support of or opposition to proposed legislation. ...
    Matt Thomas, Bo Pang, Lillian Lee
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    EMNLP
    2006
    190views Natural Language Processing» more  EMNLP 2006»
    A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
    13 years 6 months ago
    A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
    Download  research.microsoft.com
    Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
    Galen Andrew
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    EMNLP
    2006
    88views Natural Language Processing» more  EMNLP 2006»
    Distributed Language Modeling for N-best List Re-ranking
    13 years 6 months ago
    Distributed Language Modeling for N-best List Re-ranking
    Download  mtgroup.ict.ac.cn
    Ying Zhang, Almut Silja Hildebrand, Stephan Vogel
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    EMNLP
    2006
    82views Natural Language Processing» more  EMNLP 2006»
    Partially Supervised Sense Disambiguation by Learning Sense Number from Tagged and Untagged Corpora
    13 years 6 months ago
    Partially Supervised Sense Disambiguation by Learning Sense Number from Tagged and Untagged Corpora
    Download  www.comp.nus.edu.sg
    Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
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    EMNLP
    2006
    71views Natural Language Processing» more  EMNLP 2006»
    Priming Effects in Combinatory Categorial Grammar
    13 years 6 months ago
    Priming Effects in Combinatory Categorial Grammar
    Download  homepages.inf.ed.ac.uk
    This paper presents a corpus-based account of structural priming in human sentence processing, focusing on the role that syntactic representations play in such an account. We esti...
    David Reitter, Julia Hockenmaier, Frank Keller
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    EMNLP
    2006
    109views Natural Language Processing» more  EMNLP 2006»
    A Discriminative Model for Tree-to-Tree Translation
    13 years 6 months ago
    A Discriminative Model for Tree-to-Tree Translation
    Download  people.csail.mit.edu
    This paper proposes a statistical, treeto-tree model for producing translations. Two main contributions are as follows: (1) a method for the extraction of syntactic structures wit...
    Brooke Cowan, Ivona Kucerova, Michael Collins
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    EMNLP
    2006
    79views Natural Language Processing» more  EMNLP 2006»
    Capturing Out-of-Vocabulary Words in Arabic Text
    13 years 6 months ago
    Capturing Out-of-Vocabulary Words in Arabic Text
    Download  acl.ldc.upenn.edu
    The increasing flow of information between languages has led to a rise in the frequency of non-native or loan words, where terms of one language appear transliterated in another. ...
    Abdusalam F. A. Nwesri, Seyed M. M. Tahaghoghi, Fa...
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    EMNLP
    2006
    73views Natural Language Processing» more  EMNLP 2006»
    Learning Field Compatibilities to Extract Database Records from Unstructured Text
    13 years 6 months ago
    Learning Field Compatibilities to Extract Database Records from Unstructured Text
    Download  www.cs.umass.edu
    Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
    Michael L. Wick, Aron Culotta, Andrew McCallum
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