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    NAACL
    2003
    97views Computational Linguistics» more  NAACL 2003»
    A low-complexity, broad-coverage probabilistic Dependency Parser for English
    13 years 5 months ago
    A low-complexity, broad-coverage probabilistic Dependency Parser for English
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    Large-scale parsing is still a complex and timeconsuming process, often so much that it is infeasible in real-world applications. The parsing system described here addresses this ...
    Gerold Schneider
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    NAACL
    2003
    81views Computational Linguistics» more  NAACL 2003»
    A Hybrid Approach to Content Analysis for Automatic Essay Grading
    13 years 5 months ago
    A Hybrid Approach to Content Analysis for Automatic Essay Grading
    Download  acl.ldc.upenn.edu
    We present CarmelTC, a novel hybrid text classification approach for automatic essay grading. Our evaluation demonstrates that the hybrid CarmelTC approach outperforms two “bag...
    Carolyn Penstein Rosé, Antonio Roque, Dumis...
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    NAACL
    2003
    75views Computational Linguistics» more  NAACL 2003»
    Supervised and unsupervised PCFG adaptation to novel domains
    13 years 5 months ago
    Supervised and unsupervised PCFG adaptation to novel domains
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    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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    NAACL
    2003
    173views Computational Linguistics» more  NAACL 2003»
    Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System
    13 years 5 months ago
    Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System
    Download  acl.ldc.upenn.edu
    In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an uns...
    Deepak Ravichandran, Abraham Ittycheriah, Salim Ro...
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    NAACL
    2003
    96views Computational Linguistics» more  NAACL 2003»
    Demonstration of the CROSSMARC System
    13 years 5 months ago
    Demonstration of the CROSSMARC System
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    Vangelis Karkaletsis, Constantine D. Spyropoulos, ...
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    NAACL
    2003
    190views Computational Linguistics» more  NAACL 2003»
    A Generative Probabilistic OCR Model for NLP Applications
    13 years 5 months ago
    A Generative Probabilistic OCR Model for NLP Applications
    Download  acl.ldc.upenn.edu
    In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
    Okan Kolak, William J. Byrne, Philip Resnik
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    NAACL
    2003
    119views Computational Linguistics» more  NAACL 2003»
    Word Sense Acquisition from Bilingual Comparable Corpora
    13 years 5 months ago
    Word Sense Acquisition from Bilingual Comparable Corpora
    Download  acl.ldc.upenn.edu
    Manually constructing an inventory of word senses has suffered from problems including high cost, arbitrary assignment of meaning to words, and mismatch to domains. To overcome th...
    Hiroyuki Kaji
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    NAACL
    2003
    154views Computational Linguistics» more  NAACL 2003»
    Discriminating Among Word Senses Using McQuitty's Similarity Analysis
    13 years 5 months ago
    Discriminating Among Word Senses Using McQuitty's Similarity Analysis
    Download  www.d.umn.edu
    This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
    Amruta Purandare
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    NAACL
    2003
    94views Computational Linguistics» more  NAACL 2003»
    Unsupervised Learning of Morphology for English and Inuktitut
    13 years 5 months ago
    Unsupervised Learning of Morphology for English and Inuktitut
    Download  acl.ldc.upenn.edu
    We describe a simple unsupervised technique for learning morphology by identifying hubs in an automaton. For our purposes, a hub is a node in a graph with in-degree greater than o...
    Howard Johnson, Joel D. Martin
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    NAACL
    2003
    132views Computational Linguistics» more  NAACL 2003»
    Statistical Phrase-Based Translation
    13 years 5 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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