Natural intelligence - Commonsense question answering with conceptual graphs

Güler F. M., Birturk A.

18th International Conference on Conceptual Structures, ICCS 2010, Kuching, Malezya, 26 - 30 Temmuz 2010, cilt.6208 LNAI, ss.97-107, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 6208 LNAI
  • Doi Numarası: 10.1007/978-3-642-14197-3_12
  • Basıldığı Şehir: Kuching
  • Basıldığı Ülke: Malezya
  • Sayfa Sayıları: ss.97-107
  • Anahtar Kelimeler: Combinatory Categorial Grammar, Commonsense Reasoning, Conceptual Graphs, Open Cyc
  • TED Üniversitesi Adresli: Hayır

Özet

Natural Intelligence (NI) is a question answering system based on Combinatory Categorial Grammar (CCG) as the theory of grammar and Conceptual Graphs (CG) for knowledge representation and reasoning. CCG is a lexicalized theory of grammar and very suitable for semantic analysis. Conceptual Graphs is a special kind of semantic network which can express full first-order logic. It aims to address the problem of commonsense reasoning in question answering, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling. © 2010 Springer-Verlag Berlin Heidelberg.