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    COLING
    2010
    147views Computational Linguistics» more  COLING 2010»
    Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
    13 years 18 hour ago
    Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
    Download  cs.nyu.edu
    We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
    Ang Sun, Ralph Grishman
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    COLING
    2010
    117views Computational Linguistics» more  COLING 2010»
    Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
    13 years 18 hour ago
    Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches
    Download  research.microsoft.com
    Main approaches to corpus-based semantic class mining include distributional similarity (DS) and pattern-based (PB). In this paper, we perform an empirical comparison of them, bas...
    Shuming Shi, Huibin Zhang, Xiaojie Yuan, Ji-Rong W...
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    EMNLP
    2009
    121views Natural Language Processing» more  EMNLP 2009»
    Web-Scale Distributional Similarity and Entity Set Expansion
    13 years 2 months ago
    Web-Scale Distributional Similarity and Entity Set Expansion
    Download  www.aclweb.org
    Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
    Patrick Pantel, Eric Crestan, Arkady Borkovsky, An...
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    INCDM
    2010
    Springer
    166views Data Mining» more  INCDM 2010»
    Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
    13 years 2 months ago
    Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
    Download  www.mendeley.com
    In this paper we report on a study on feature selection within the minimum
    Benjamin Auffarth, Maite López, Jesú...
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    ACL
    2010
    153views Computational Linguistics» more  ACL 2010»
    Distributional Similarity vs. PU Learning for Entity Set Expansion
    13 years 3 months ago
    Distributional Similarity vs. PU Learning for Entity Set Expansion
    Download  www.cs.uic.edu
    Distributional similarity is a classic technique for entity set expansion, where the system is given a set of seed entities of a particular class, and is asked to expand the set u...
    Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng
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    COLING
    2002
    107views Computational Linguistics» more  COLING 2002»
    Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision
    13 years 4 months ago
    Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic Classification Decision
    Download  acl.ldc.upenn.edu
    The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The re...
    Viktor Pekar, Steffen Staab
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    ACL
    2006
    114views Computational Linguistics» more  ACL 2006»
    Exploring Distributional Similarity Based Models for Query Spelling Correction
    13 years 6 months ago
    Exploring Distributional Similarity Based Models for Query Spelling Correction
    Download  acl.ldc.upenn.edu
    A query speller is crucial to search engine in improving web search relevance. This paper describes novel methods for use of distributional similarity estimated from query logs in...
    Mu Li, Muhua Zhu, Yang Zhang, Ming Zhou
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    ACL
    2006
    89views Computational Linguistics» more  ACL 2006»
    Scaling Distributional Similarity to Large Corpora
    13 years 6 months ago
    Scaling Distributional Similarity to Large Corpora
    Download  www.cs.usyd.edu.au
    Accurately representing synonymy using distributional similarity requires large volumes of data to reliably represent infrequent words. However, the na
    James Gorman, James R. Curran
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    COLING
    2008
    119views Computational Linguistics» more  COLING 2008»
    Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
    13 years 6 months ago
    Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
    Download  www.tkl.iis.u-tokyo.ac.jp
    Word clustering is a conventional and important NLP task, and the literature has suggested two kinds of approaches to this problem. One is based on the distributional similarity a...
    Nobuhiro Kaji, Masaru Kitsuregawa
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    ACL
    2007
    148views Computational Linguistics» more  ACL 2007»
    Assisting Translators in Indirect Lexical Transfer
    13 years 6 months ago
    Assisting Translators in Indirect Lexical Transfer
    Download  corpus.leeds.ac.uk
    We present the design and evaluation of a translator’s amenuensis that uses comparable corpora to propose and rank nonliteral solutions to the translation of expressions from th...
    Bogdan Babych, Anthony Hartley, Serge Sharoff, Olg...
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