Penerbit

Pengarang

Shen Song and Yu-N Cheah;

Judul

Judul Artikel

Extracting Structural Rules for Matching Questions to Answers (hal 53-56)

Nama Prosiding

Satellite workshop on language artifical intelligence and computer science for natural processing applications (LAICS-NLP) October 19 2006

Bahasa

english

Abstrak Indonesia

Abstrak English

Rule-based Question Answering (QA) systems require a comprehensive set of rules to guide its search for the right answer. Presently, many rules for QA systems are derived manually. This paper presents a question answering methodology as well as proposes an automatic rule extraction methodology to obtain sufficient rules to guide the matching process between the question and potential answers in the repository.

Kata Kunci

Tahun

2006

No. Panggil

SEM-369