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ACL
2008
14 years 11 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
DIMVA
2007
14 years 11 months ago
A Study of Malcode-Bearing Documents
By exploiting the object-oriented dynamic composability of modern document applications and formats, malcode hidden in otherwise inconspicuous documents can reach third-party appli...
Wei-Jen Li, Salvatore J. Stolfo, Angelos Stavrou, ...
WWW
2008
ACM
15 years 10 months ago
Hidden sentiment association in chinese web opinion mining
The boom of product review websites, blogs and forums on the web has attracted many research efforts on opinion mining. Recently, there was a growing interest in the finergrained ...
Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu...
BMCBI
2006
141views more  BMCBI 2006»
14 years 9 months ago
Asymptotic behaviour and optimal word size for exact and approximate word matches between random sequences
Background: The number of k-words shared between two sequences is a simple and effcient alignment-free sequence comparison method. This statistic, D2, has been used for the cluste...
Sylvain Forêt, Miriam R. Kantorovitz, Conrad...
NAACL
2007
14 years 11 months ago
Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes
We present an approach to using multiple preprocessing schemes to improve statistical word alignments. We show a relative reduction of alignment error rate of about 38%.
Jakob Elming, Nizar Habash