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    RIAO
    2007
    112views Information Technology» more  RIAO 2007»
    Comprehensible and Accurate Cluster Labels in Text Clustering
    13 years 9 months ago
    Comprehensible and Accurate Cluster Labels in Text Clustering
    Download  www.cs.put.poznan.pl
    The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
    Jerzy Stefanowski, Dawid Weiss
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    SDM
    2007
    SIAM
    109views Data Mining» more  SDM 2007»
    Segmentations with Rearrangements
    13 years 9 months ago
    Segmentations with Rearrangements
    Download  siam.org
    Sequence segmentation is a central problem in the analysis of sequential and time-series data. In this paper we introduce and we study a novel variation to the segmentation proble...
    Aristides Gionis, Evimaria Terzi
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    EMNLP
    2004
    219views Natural Language Processing» more  EMNLP 2004»
    Applying Conditional Random Fields to Japanese Morphological Analysis
    13 years 9 months ago
    Applying Conditional Random Fields to Japanese Morphological Analysis
    Download  acl.ldc.upenn.edu
    This paper presents Japanese morphological analysis based on conditional random fields (CRFs). Previous work in CRFs assumed that observation sequence (word) boundaries were fixed...
    Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto
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    HIS
    2004
    196views Information Technology» more  HIS 2004»
    Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
    13 years 9 months ago
    Reinforcement Learning Hierarchical Neuro-Fuzzy Politree Model for Control of Autonomous Agents
    Download  ducati.doc.ntu.ac.uk
    : This work presents a new hybrid neuro-fuzzy model for automatic learning of actions taken by agents. The main objective of this new model is to provide an agent with intelligence...
    Karla Figueiredo, Marley B. R. Vellasco, Marco Aur...
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    ACL
    2003
    119views Computational Linguistics» more  ACL 2003»
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    13 years 9 months ago
    Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
    Download  www.cs.cmu.edu
    This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
    Monica Rogati, J. Scott McCarley, Yiming Yang
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