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CIKM
2010
Springer
13 years 3 months ago
Automatically suggesting topics for augmenting text documents
We present a method for automated topic suggestion. Given a plain-text input document, our algorithm produces a ranking of novel topics that could enrich the input document in a m...
Robert West, Doina Precup, Joelle Pineau
ICDAR
2009
IEEE
13 years 2 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 5 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
SIGIR
2012
ACM
11 years 6 months ago
Automatic suggestion of query-rewrite rules for enterprise search
Enterprise search is challenging for several reasons, notably the dynamic terminology and jargon that are specific to the enterprise domain. This challenge is partly addressed by...
Zhuowei Bao, Benny Kimelfeld, Yunyao Li
ERCIMDL
2004
Springer
120views Education» more  ERCIMDL 2004»
13 years 9 months ago
Towards Topic Driven Access to Full Text Documents
We address the issue of providing topic driven access to full text documents. The methodology we propose is a combination of topic segmentation and information retrieval techniques...
Caterina Caracciolo, Willem Robert van Hage, Maart...