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» Name Tagging with Word Clusters and Discriminative Training
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ACL
2008
13 years 8 months ago
Mining Wiki Resources for Multilingual Named Entity Recognition
In this paper, we describe a system by which the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) t...
Alexander E. Richman, Patrick Schone
CIS
2005
Springer
14 years 7 days ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
WIA
2001
Springer
13 years 11 months ago
Finite-State Transducer Cascade to Extract Proper Names in Texts
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
Nathalie Friburger, Denis Maurel
FLAIRS
2009
13 years 4 months ago
Automatic Text Categorization of Mathematical Word Problems
This paper describes a novel application of text categorization for mathematical word problems, namely Multiplicative Compare and Equal Group problems. The empirical results and a...
Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhan...
ACL
1998
13 years 8 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker