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    ACL
    2006
    102views Computational Linguistics» more  ACL 2006»
    Improving QA Accuracy by Question Inversion
    13 years 6 months ago
    Improving QA Accuracy by Question Inversion
    Download  acl.ldc.upenn.edu
    This paper demonstrates a conceptually simple but effective method of increasing the accuracy of QA systems on factoid-style questions. We define the notion of an inverted questio...
    John M. Prager, Pablo Ariel Duboué, Jennife...
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    ACL
    2006
    113views Computational Linguistics» more  ACL 2006»
    Utilizing Co-Occurrence of Answers in Question Answering
    13 years 6 months ago
    Utilizing Co-Occurrence of Answers in Question Answering
    Download  www.ils.albany.edu
    In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in ...
    Min Wu, Tomek Strzalkowski
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    ACL
    2006
    77views Computational Linguistics» more  ACL 2006»
    LexNet: A Graphical Environment for Graph-Based NLP
    13 years 6 months ago
    LexNet: A Graphical Environment for Graph-Based NLP
    Download  clair.si.umich.edu
    This interactive presentation describes LexNet, a graphical environment for graph-based NLP developed at the University of Michigan. LexNet includes LexRank (for text summarizatio...
    Dragomir R. Radev, Günes Erkan, Anthony Fader...
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    ACL
    2006
    101views Computational Linguistics» more  ACL 2006»
    Learning Accurate, Compact, and Interpretable Tree Annotation
    13 years 6 months ago
    Learning Accurate, Compact, and Interpretable Tree Annotation
    Download  leon.barrettnexus.com
    We present an automatic approach to tree annotation in which basic nonterminal symbols are alternately split and merged to maximize the likelihood of a training treebank. Starting...
    Slav Petrov, Leon Barrett, Romain Thibaux, Dan Kle...
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    ACL
    2006
    91views Computational Linguistics» more  ACL 2006»
    Using Machine Learning to Explore Human Multimodal Clarification Strategies
    13 years 6 months ago
    Using Machine Learning to Explore Human Multimodal Clarification Strategies
    Download  homepages.inf.ed.ac.uk
    We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
    Verena Rieser, Oliver Lemon
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    ACL
    2006
    117views Computational Linguistics» more  ACL 2006»
    From Prosodic Trees to Syntactic Trees
    13 years 6 months ago
    From Prosodic Trees to Syntactic Trees
    Download  acl.ldc.upenn.edu
    This paper describes an ongoing effort to parse the Hebrew Bible. The parser consults the bracketing information extracted from the cantillation marks of the Masoetic text. We fir...
    Andi Wu, Kirk Lowery
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    ACL
    2006
    82views Computational Linguistics» more  ACL 2006»
    Ontologizing Semantic Relations
    13 years 6 months ago
    Ontologizing Semantic Relations
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    Many algorithms have been developed to harvest lexical semantic resources, however few have linked the mined knowledge into formal knowledge repositories. In this paper, we propos...
    Marco Pennacchiotti, Patrick Pantel
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    ACL
    2006
    93views Computational Linguistics» more  ACL 2006»
    Combining Association Measures for Collocation Extraction
    13 years 6 months ago
    Combining Association Measures for Collocation Extraction
    Download  acl.ldc.upenn.edu
    We introduce the possibility of combining lexical association measures and present empirical results of several methods employed in automatic collocation extraction. First, we pre...
    Pavel Pecina, Pavel Schlesinger
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    ACL
    2006
    91views Computational Linguistics» more  ACL 2006»
    Names and Similarities on the Web: Fact Extraction in the Fast Lane
    13 years 6 months ago
    Names and Similarities on the Web: Fact Extraction in the Fast Lane
    Download  acl.ldc.upenn.edu
    In a new approach to large-scale extraction of facts from unstructured text, distributional similarities become an integral part of both the iterative acquisition of high-coverage...
    Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei L...
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    ACL
    2006
    92views Computational Linguistics» more  ACL 2006»
    A Finite-State Model of Human Sentence Processing
    13 years 6 months ago
    A Finite-State Model of Human Sentence Processing
    Download  acl.ldc.upenn.edu
    It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the prob...
    Jihyun Park, Chris Brew
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