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IMCSIT
2010
14 years 7 months ago
Using Self Organizing Map to Cluster Arabic Crime Documents
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...
Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marg...
CLEF
2009
Springer
14 years 7 months ago
Clustering for Text and Image-Based Photo Retrieval at CLEF 2009
For this year's Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased ...
Qian Zhu, Diana Inkpen
TRECVID
2007
14 years 11 months ago
UEC at TRECVID 2007 High Level Feature Task
In this paper, we describe our approach and results for high-level feature extraction task at TRECVID 2007. This year, we adopted late fusion of several types of features. As a ï¬...
O. Liu, Z. Tang, K. Yanai
ACL
1997
14 years 11 months ago
Retrieving Collocations by Co-occurrences and Word Order Constraints
In this paper, we describe a method for automatically retrieving collocations from large text corpora. This method retrieve collocations in the following stages: 1) extracting str...
Sayori Shimohata, Toshiyuki Sugio, Junji Nagata
DGO
2007
192views Education» more  DGO 2007»
14 years 11 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger