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» Structured Relation Discovery using Generative Models
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IJCNLP
2005
Springer
15 years 5 months ago
Exploiting Lexical Conceptual Structure for Paraphrase Generation
Abstract. Lexical Conceptual Structure (LCS) represents verbs as semantic structures with a limited number of semantic predicates. This paper attempts to exploit how LCS can be use...
Atsushi Fujita, Kentaro Inui, Yuji Matsumoto
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
15 years 3 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
DCC
2007
IEEE
15 years 11 months ago
Structure induction by lossless graph compression
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example ge...
Leonid Peshkin
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
15 years 6 months ago
Site-Independent Template-Block Detection
Detection of template and noise blocks in web pages is an important step in improving the performance of information retrieval and content extraction. Of the many approaches propos...
Aleksander Kolcz, Wen-tau Yih
ECOOP
2006
Springer
15 years 3 months ago
The Runtime Structure of Object Ownership
Object-oriented programs often require large heaps to run properly or meet performance goals. They use high-overhead collections, bulky data models, and large caches. Discovering t...
Nick Mitchell