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    ACL
    2009
    167views Computational Linguistics» more  ACL 2009»
    Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information
    13 years 9 months ago
    Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information
    Download  www.aclweb.org
    The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both impl...
    Xu Sun, Naoaki Okazaki, Jun-ichi Tsujii
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    ACL
    2009
    129views Computational Linguistics» more  ACL 2009»
    Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT
    13 years 9 months ago
    Case markers and Morphology: Addressing the crux of the fluency problem in English-Hindi SMT
    Download  www.cse.iitb.ac.in
    We report in this paper our work on accurately generating case markers and suffixes in English-to-Hindi SMT. Hindi is a relatively free word-order language, and makes use of a com...
    Ananthakrishnan Ramanathan, Hansraj Choudhary, Avi...
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    ACL
    2009
    101views Computational Linguistics» more  ACL 2009»
    Comparing Objective and Subjective Measures of Usability in a Human-Robot Dialogue System
    13 years 9 months ago
    Comparing Objective and Subjective Measures of Usability in a Human-Robot Dialogue System
    Download  www6.in.tum.de
    We present a human-robot dialogue system that enables a robot to work together with a human user to build wooden construction toys. We then describe a study in which na
    Mary Ellen Foster, Manuel Giuliani, Alois Knoll
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    ACL
    2009
    195views Computational Linguistics» more  ACL 2009»
    Distant supervision for relation extraction without labeled data
    13 years 9 months ago
    Distant supervision for relation extraction without labeled data
    Download  www.stanford.edu
    Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
    Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
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    ACL
    2009
    113views Computational Linguistics» more  ACL 2009»
    Compiling a Massive, Multilingual Dictionary via Probabilistic Inference
    13 years 9 months ago
    Compiling a Massive, Multilingual Dictionary via Probabilistic Inference
    Download  turing.cs.washington.edu
    Can we automatically compose a large set of Wiktionaries and translation dictionaries to yield a massive, multilingual dictionary whose coverage is substantially greater than that...
    Mausam, Stephen Soderland, Oren Etzioni, Daniel S....
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    ACL
    2009
    86views Computational Linguistics» more  ACL 2009»
    Extracting Lexical Reference Rules from Wikipedia
    13 years 9 months ago
    Extracting Lexical Reference Rules from Wikipedia
    Download  www.aclweb.org
    This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. We present extraction methods gear...
    Eyal Shnarch, Libby Barak, Ido Dagan
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    ACL
    2009
    140views Computational Linguistics» more  ACL 2009»
    Unsupervised Argument Identification for Semantic Role Labeling
    13 years 9 months ago
    Unsupervised Argument Identification for Semantic Role Labeling
    Download  www.cs.huji.ac.il
    The task of Semantic Role Labeling (SRL) is often divided into two sub-tasks: verb argument identification, and argument classification. Current SRL algorithms show lower results ...
    Omri Abend, Roi Reichart, Ari Rappoport
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    ACL
    2009
    121views Computational Linguistics» more  ACL 2009»
    Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
    13 years 9 months ago
    Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
    Download  aclweb.org
    Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
    Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
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    ACL
    2009
    108views Computational Linguistics» more  ACL 2009»
    Joint Decoding with Multiple Translation Models
    13 years 9 months ago
    Joint Decoding with Multiple Translation Models
    Download  mtgroup.ict.ac.cn
    Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a met...
    Yang Liu, Haitao Mi, Yang Feng, Qun Liu
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    ACL
    2009
    94views Computational Linguistics» more  ACL 2009»
    A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion
    13 years 9 months ago
    A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion
    Download  www.aclweb.org
    Correct stress placement is important in text-to-speech systems, in terms of both the overall accuracy and the naturalness of pronunciation. In this paper, we formulate stress ass...
    Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, G...
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