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    EMNLP
    2008
    91views Natural Language Processing» more  EMNLP 2008»
    It's a Contradiction - no, it's not: A Case Study using Functional Relations
    14 years 29 days ago
    It's a Contradiction - no, it's not: A Case Study using Functional Relations
    Download  turing.cs.washington.edu
    Contradiction Detection (CD) in text is a difficult NLP task. We investigate CD over functions (e.g., BornIn(Person)=Place), and present a domain-independent algorithm that automa...
    Alan Ritter, Stephen Soderland, Doug Downey, Oren ...
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    EMNLP
    2008
    128views Natural Language Processing» more  EMNLP 2008»
    Automatic Set Expansion for List Question Answering
    14 years 29 days ago
    Automatic Set Expansion for List Question Answering
    Download  www.cs.cmu.edu
    This paper explores the use of set expansion (SE) to improve question answering (QA) when the expected answer is a list of entities belonging to a certain class. Given a small set...
    Richard C. Wang, Nico Schlaefer, William W. Cohen,...
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    EMNLP
    2008
    144views Natural Language Processing» more  EMNLP 2008»
    Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
    14 years 29 days ago
    Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation
    Download  www.aclweb.org
    Syntactic word reordering is essential for translations across different grammar structures between syntactically distant languagepairs. In this paper, we propose to embed local a...
    Bing Zhao, Yaser Al-Onaizan
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    EMNLP
    2008
    118views Natural Language Processing» more  EMNLP 2008»
    A Graph-theoretic Model of Lexical Syntactic Acquisition
    14 years 29 days ago
    A Graph-theoretic Model of Lexical Syntactic Acquisition
    Download  www.ims.uni-stuttgart.de
    This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
    Hinrich Schütze, Michael Walsh
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    EMNLP
    2008
    144views Natural Language Processing» more  EMNLP 2008»
    Online Methods for Multi-Domain Learning and Adaptation
    14 years 29 days ago
    Online Methods for Multi-Domain Learning and Adaptation
    Download  www.cs.jhu.edu
    NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
    Mark Dredze, Koby Crammer
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    EMNLP
    2008
    131views Natural Language Processing» more  EMNLP 2008»
    Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
    14 years 29 days ago
    Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
    Download  www.aclweb.org
    To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
    Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...
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    EMNLP
    2008
    118views Natural Language Processing» more  EMNLP 2008»
    Online Large-Margin Training of Syntactic and Structural Translation Features
    14 years 29 days ago
    Online Large-Margin Training of Syntactic and Structural Translation Features
    Download  www.isi.edu
    Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
    David Chiang, Yuval Marton, Philip Resnik
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    EMNLP
    2008
    92views Natural Language Processing» more  EMNLP 2008»
    Legal Docket Classification: Where Machine Learning Stumbles
    14 years 29 days ago
    Legal Docket Classification: Where Machine Learning Stumbles
    Download  www.aclweb.org
    Ramesh Nallapati, Christopher D. Manning
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    EMNLP
    2008
    107views Natural Language Processing» more  EMNLP 2008»
    Attacking Decipherment Problems Optimally with Low-Order N-gram Models
    14 years 29 days ago
    Attacking Decipherment Problems Optimally with Low-Order N-gram Models
    Download  www.aclweb.org
    We introduce a method for solving substitution ciphers using low-order letter n-gram models. This method enforces global constraints using integer programming, and it guarantees t...
    Sujith Ravi, Kevin Knight
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    EMNLP
    2008
    75views Natural Language Processing» more  EMNLP 2008»
    Forest-based Translation Rule Extraction
    14 years 29 days ago
    Forest-based Translation Rule Extraction
    Download  www.cis.upenn.edu
    Translation rule extraction is a fundamental problem in machine translation, especially for linguistically syntax-based systems that need parse trees from either or both sides of ...
    Haitao Mi, Liang Huang
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