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    COLING
    2008
    146views Computational Linguistics» more  COLING 2008»
    Investigating Statistical Techniques for Sentence-Level Event Classification
    13 years 9 months ago
    Investigating Statistical Techniques for Sentence-Level Event Classification
    Download  www.aclweb.org
    The ability to correctly classify sentences that describe events is an important task for many natural language applications such as Question Answering (QA) and Summarisation. In ...
    Martina Naughton, Nicola Stokes, Joe Carthy
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    EACL
    2006
    ACL Anthology
    99views Natural Language Processing» more  EACL 2006»
    Investigating a Generic Paraphrase-Based Approach for Relation Extraction
    13 years 9 months ago
    Investigating a Generic Paraphrase-Based Approach for Relation Extraction
    Download  acl.ldc.upenn.edu
    Unsupervised paraphrase acquisition has been an active research field in recent years, but its effective coverage and performance have rarely been evaluated. We propose a generic ...
    Lorenza Romano, Milen Kouylekov, Idan Szpektor, Id...
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    ACL
    2003
    86views Computational Linguistics» more  ACL 2003»
    Probabilistic Text Structuring: Experiments with Sentence Ordering
    13 years 9 months ago
    Probabilistic Text Structuring: Experiments with Sentence Ordering
    Download  homepages.inf.ed.ac.uk
    Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
    Mirella Lapata
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    NAACL
    2007
    105views Computational Linguistics» more  NAACL 2007»
    A Random Text Model for the Generation of Statistical Language Invariants
    13 years 9 months ago
    A Random Text Model for the Generation of Statistical Language Invariants
    Download  wortschatz.uni-leipzig.de
    A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...
    Chris Biemann
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    NIPS
    2001
    178views Information Technology» more  NIPS 2001»
    Natural Language Grammar Induction Using a Constituent-Context Model
    13 years 9 months ago
    Natural Language Grammar Induction Using a Constituent-Context Model
    Download  www.cs.berkeley.edu
    This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
    Dan Klein, Christopher D. Manning
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