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CICLING
2005
Springer
15 years 7 months ago
Instance Pruning by Filtering Uninformative Words: An Information Extraction Case Study
In this paper we present a novel instance pruning technique for Information Extraction (IE). In particular, our technique filters out uninformative words from texts on the basis o...
Alfio Massimiliano Gliozzo, Claudio Giuliano, Raff...
94
Voted
FSKD
2005
Springer
98views Fuzzy Logic» more  FSKD 2005»
15 years 7 months ago
Extraction of Representative Keywords Considering Co-occurrence in Positive Documents
In linear text classification, user feedback is usually used to tune up the representative keywords (RK) for a certain class. Despite some algorithms (e.g. Rocchio) deal well with...
Byeong Man Kim, Qing Li, KwangHo Lee, Bo-Yeong Kan...
113
Voted
PVLDB
2008
156views more  PVLDB 2008»
15 years 1 months ago
eXtract: a snippet generation system for XML search
Snippets are used by almost every text search engine to complement ranking schemes in order to effectively handle user keyword search. Despite the fact that XML is a standard repr...
Yu Huang, Ziyang Liu, Yi Chen
107
Voted
LREC
2008
104views Education» more  LREC 2008»
15 years 3 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...
148
Voted
SEMCO
2007
IEEE
15 years 8 months ago
Learning by Reading by Learning to Read
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
Sergei Nirenburg, Tim Oates, Jesse English