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    ACL
    2006
    115views Computational Linguistics» more  ACL 2006»
    A Modified Joint Source-Channel Model for Transliteration
    13 years 11 months ago
    A Modified Joint Source-Channel Model for Transliteration
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    Asif Ekbal, Sudip Kumar Naskar, Sivaji Bandyopadhy...
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    ACL
    2006
    86views Computational Linguistics» more  ACL 2006»
    Towards A Modular Data Model For Multi-Layer Annotated Corpora
    13 years 11 months ago
    Towards A Modular Data Model For Multi-Layer Annotated Corpora
    Download  acl.ldc.upenn.edu
    In this paper we discuss the current methods in the representation of corpora annotated at multiple levels of linguistic organization (so-called multi-level or multi-layer corpora...
    Richard Eckart
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    ACL
    2006
    94views Computational Linguistics» more  ACL 2006»
    Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
    13 years 11 months ago
    Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
    Download  homepages.inf.ed.ac.uk
    The psycholinguistic literature provides evidence for syntactic priming, i.e., the tendency to repeat structures. This paper describes a method for incorporating priming into an i...
    Amit Dubey, Frank Keller, Patrick Sturt
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    ACL
    2006
    125views Computational Linguistics» more  ACL 2006»
    A Bio-Inspired Approach for Multi-Word Expression Extraction
    13 years 11 months ago
    A Bio-Inspired Approach for Multi-Word Expression Extraction
    Download  acl.ldc.upenn.edu
    This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in p...
    Jianyong Duan, Ruzhan Lu, Weilin Wu, Yi Hu, Yan Ti...
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    ACL
    2006
    177views Computational Linguistics» more  ACL 2006»
    Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
    13 years 11 months ago
    Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
    Download  lhncbc.nlm.nih.gov
    This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
    Dina Demner-Fushman, Jimmy J. Lin
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    ACL
    2006
    126views Computational Linguistics» more  ACL 2006»
    Bayesian Query-Focused Summarization
    13 years 11 months ago
    Bayesian Query-Focused Summarization
    Download  www.cs.utah.edu
    We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
    Hal Daumé III, Daniel Marcu
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    ACL
    2006
    135views Computational Linguistics» more  ACL 2006»
    Direct Word Sense Matching for Lexical Substitution
    13 years 11 months ago
    Direct Word Sense Matching for Lexical Substitution
    Download  oren.glickman.com
    This paper investigates conceptually and empirically the novel sense matching task, which requires to recognize whether the senses of two synonymous words match in context. We sug...
    Ido Dagan, Oren Glickman, Alfio Massimiliano Glioz...
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    ACL
    2006
    157views Computational Linguistics» more  ACL 2006»
    Multi-Tagging for Lexicalized-Grammar Parsing
    13 years 11 months ago
    Multi-Tagging for Lexicalized-Grammar Parsing
    Download  www.cs.usyd.edu.au
    With performance above 97% accuracy for newspaper text, part of speech (POS) tagging might be considered a solved problem. Previous studies have shown that allowing the parser to ...
    James R. Curran, Stephen Clark, David Vadas
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    ACL
    2006
    138views Computational Linguistics» more  ACL 2006»
    Sub-Sentential Alignment Using Substring Co-Occurrence Counts
    13 years 11 months ago
    Sub-Sentential Alignment Using Substring Co-Occurrence Counts
    Download  acl.ldc.upenn.edu
    In this paper, we will present an efficient method to compute the co-occurrence counts of any pair of substring in a parallel corpus, and an algorithm that make use of these count...
    Fabien Cromierès
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    ACL
    2006
    182views Computational Linguistics» more  ACL 2006»
    Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
    13 years 11 months ago
    Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
    Download  www.cse.buffalo.edu
    Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
    Cassandre Creswell, Matthew J. Beal, John Chen, Th...
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