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ICML
2007
IEEE
16 years 7 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto
GFKL
2005
Springer
93views Data Mining» more  GFKL 2005»
15 years 12 months ago
A Hybrid Machine Learning Approach for Information Extraction from Free Text
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Günter Neumann
BTW
2007
Springer
131views Database» more  BTW 2007»
15 years 10 months ago
TopX - Efficient and Versatile Top-k Query Process-ing for Text, Semistructured, and Structured Data
: This paper presents a comprehensive overview of the TopX search engine, an extensive framework for unified indexing and querying large collections of unstructured, semistructured...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
FQAS
2006
Springer
84views Database» more  FQAS 2006»
15 years 10 months ago
UNL as a Text Content Representation Language for Information Extraction
This paper describes a new approach for describing contents through the use of interlinguas in order to facilitate the extraction of specific pieces of information. The authors hig...
Jesús Cardeñosa, Carolina Gallardo, ...
CIKM
2008
Springer
15 years 8 months ago
Traditional resources help interpret texts
Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag...
Judith Gelernter, Michael E. Lesk