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» Insights from Network Structure for Text Mining
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COLING
1990
14 years 10 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
MMM
2006
Springer
107views Multimedia» more  MMM 2006»
15 years 3 months ago
History-based visual mining of semi-structured audio and text
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and timebased med...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...
WWW
2008
ACM
15 years 10 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
90
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PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 1 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...
LREC
2010
201views Education» more  LREC 2010»
14 years 11 months ago
Cultural Heritage: Knowledge Extraction from Web Documents
This article presents the use of NLP techniques (text mining, text analysis) to develop specific tools that allow to create linguistic resources related to the cultural heritage d...
Eva Sassolini, Alessandra Cinini