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    NAACL
    2007
    66views Computational Linguistics» more  NAACL 2007»
    Whose Idea Was This, and Why Does it Matter? Attributing Scientific Work to Citations
    13 years 9 months ago
    Whose Idea Was This, and Why Does it Matter? Attributing Scientific Work to Citations
    Download  www.cl.cam.ac.uk
    Advaith Siddharthan, Simone Teufel
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    NAACL
    2007
    155views Computational Linguistics» more  NAACL 2007»
    A Probabilistic Framework for Answer Selection in Question Answering
    13 years 9 months ago
    A Probabilistic Framework for Answer Selection in Question Answering
    Download  www.cs.purdue.edu
    This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...
    Jeongwoo Ko, Luo Si, Eric Nyberg
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    NAACL
    2007
    118views Computational Linguistics» more  NAACL 2007»
    Automatic Answer Typing for How-Questions
    13 years 9 months ago
    Automatic Answer Typing for How-Questions
    Download  webdocs.cs.ualberta.ca
    We introduce an answer typing strategy specific to quantifiable how questions. Using the web as a data source, we automatically collect answer units appropriate to a given how-q...
    Christopher Pinchak, Shane Bergsma
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    NAACL
    2007
    91views Computational Linguistics» more  NAACL 2007»
    Randomized Decoding for Selection-and-Ordering Problems
    13 years 9 months ago
    Randomized Decoding for Selection-and-Ordering Problems
    Download  people.csail.mit.edu
    The task of selecting and ordering information appears in multiple contexts in text generation and summarization. For instance, methods for title generation construct a headline b...
    Pawan Deshpande, Regina Barzilay, David R. Karger
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    NAACL
    2007
    113views Computational Linguistics» more  NAACL 2007»
    Hybrid Models for Semantic Classification of Chinese Unknown Words
    13 years 9 months ago
    Hybrid Models for Semantic Classification of Chinese Unknown Words
    Download  acl.ldc.upenn.edu
    This paper addresses the problem of classifying Chinese unknown words into fine-grained semantic categories defined in a Chinese thesaurus. We describe three novel knowledge-based...
    Xiaofei Lu
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    NAACL
    2007
    139views Computational Linguistics» more  NAACL 2007»
    Automatic Assessment of Student Translations for Foreign Language Tutoring
    13 years 9 months ago
    Automatic Assessment of Student Translations for Foreign Language Tutoring
    Download  acl.ldc.upenn.edu
    This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Language Learning (CALL) application. We describe a computer game...
    Chao Wang, Stephanie Seneff
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    NAACL
    2007
    84views Computational Linguistics» more  NAACL 2007»
    A Cascaded Machine Learning Approach to Interpreting Temporal Expressions
    13 years 9 months ago
    A Cascaded Machine Learning Approach to Interpreting Temporal Expressions
    Download  staff.science.uva.nl
    A new architecture for identifying and interpreting temporal expressions is introduced, in which the large set of complex hand-crafted rules standard in systems for this task is r...
    David Ahn, Joris van Rantwijk, Maarten de Rijke
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    NAACL
    2007
    118views Computational Linguistics» more  NAACL 2007»
    What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations
    13 years 9 months ago
    What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations
    Download  homepages.inf.ed.ac.uk
    Pei-yun Hsueh, Johanna D. Moore
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    NAACL
    2007
    99views Computational Linguistics» more  NAACL 2007»
    Improving Diversity in Ranking using Absorbing Random Walks
    13 years 9 months ago
    Improving Diversity in Ranking using Absorbing Random Walks
    Download  pages.cs.wisc.edu
    Xiaojin Zhu, Andrew B. Goldberg, Jurgen Van Gael, ...
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    NAACL
    2007
    133views Computational Linguistics» more  NAACL 2007»
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    13 years 9 months ago
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    Download  www.cs.rochester.edu
    We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
    Ding Liu, Daniel Gildea
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