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An Application of Fuzzy Inductive Logic Programming for Textual Entailment and Value Mining


Skansi, Sandro; Dropuljić, Branimir; Kopal, Robert
An Application of Fuzzy Inductive Logic Programming for Textual Entailment and Value Mining // International Journal of Digital Technology & Economy, 1 (2016), 1; 43-51 (podatak o recenziji nije dostupan, prethodno priopcenje, znanstveni)


Naslov
An Application of Fuzzy Inductive Logic Programming for Textual Entailment and Value Mining

Autori
Skansi, Sandro ; Dropuljić, Branimir ; Kopal, Robert

Izvornik
International Journal of Digital Technology & Economy (2459-5934) 1 (2016), 1; 43-51

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopcenje, znanstveni

Ključne riječi
Natural language processing; value mining; textual entailment; inductive logic programming

Sažetak
The aim of this preliminary report is to give an overview of textual entailment in natural language processing (NLP), to present our approach to research and to explain the possible applications for such a system. Our system presupposes several modules, namely the sentiment analysis module, the anaphora resolution module, the named entity recognition module and the relationship extraction module. State-of-the-art modules will be used but no amount of research will go into this. The research focuses on the main module that extracts background knowledge from the extracted relationships via resolution and inverse resolution (inductive logic programming). The last part focuses on possible economic applications of our research.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


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