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AIIA
2001
Springer
13 years 8 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
ACL
2011
12 years 7 months ago
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
KBS
2007
101views more  KBS 2007»
13 years 3 months ago
A Knowledge Base for the maintenance of knowledge extracted from web data
By applying web mining tools, significant patterns about the visitor behavior can be extracted from data originated in web sites. Supported by a domain expert, the patterns are v...
Juan D. Velásquez, Vasile Palade
JCIT
2008
124views more  JCIT 2008»
13 years 3 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
ACL
2012
11 years 6 months ago
Learning Better Rule Extraction with Translation Span Alignment
This paper presents an unsupervised approach to learning translation span alignments from parallel data that improves syntactic rule extraction by deleting spurious word alignment...
Jingbo Zhu, Tong Xiao, Chunliang Zhang