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    NAACL
    2003
    119views Computational Linguistics» more  NAACL 2003»
    Factored Language Models and Generalized Parallel Backoff
    13 years 8 months ago
    Factored Language Models and Generalized Parallel Backoff
    Download  ssli.ee.washington.edu
    We introduce factored language models (FLMs) and generalized parallel backoff (GPB). An FLM represents words as bundles of features (e.g., morphological classes, stems, data-drive...
    Jeff Bilmes, Katrin Kirchhoff
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    NAACL
    2003
    105views Computational Linguistics» more  NAACL 2003»
    In Question Answering, Two Heads Are Better Than One
    13 years 8 months ago
    In Question Answering, Two Heads Are Better Than One
    Download  acl.ldc.upenn.edu
    Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
    Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
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    NAACL
    2003
    104views Computational Linguistics» more  NAACL 2003»
    Target Word Detection and Semantic Role Chunking using Support Vector Machines
    13 years 8 months ago
    Target Word Detection and Semantic Role Chunking using Support Vector Machines
    Download  www.bltek.com
    In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...
    Kadri Hacioglu, Wayne Ward
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    NAACL
    2003
    132views Computational Linguistics» more  NAACL 2003»
    Statistical Phrase-Based Translation
    13 years 8 months ago
    Statistical Phrase-Based Translation
    Download  www.isi.edu
    We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within...
    Philipp Koehn, Franz Josef Och, Daniel Marcu
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    NAACL
    2003
    75views Computational Linguistics» more  NAACL 2003»
    Supervised and unsupervised PCFG adaptation to novel domains
    13 years 8 months ago
    Supervised and unsupervised PCFG adaptation to novel domains
    Download  acl.ldc.upenn.edu
    This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
    Brian Roark, Michiel Bacchiani
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