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IMCSIT
2010
14 years 11 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
15 years 2 days 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
15 years 3 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
118
Voted
ACL
1997
15 years 3 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»
15 years 3 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