Automatic question generation using natural language processing techniques
Keklik, Onur, author.

Automatic question generation using natural language processing techniques

Keklik, Onur, author.

Yazar Ek Girişi
Keklik, Onur, author.

Fiziksel Tanımlama
xi, 41 leaves:+ 1 computer laser optical disc.

This thesis proposes a new rule based approach to automatic question generation. The proposed approach focuses on analysis of both syntactic and semantic structure of a sentence. The design and implementation of the proposed approach are also explained in detail. Although the primary objective of the designed system is question generation from sentences, automatic evaluation results shows that, it also achieves great performance on reading comprehension datasets, which focus on question generation from paragraphs. With respect to human evaluations, the designed system significantly outperforms all other systems and generated the most natural (human-like) questions.

Konu Başlığı
Artificial intelligence.
Question-answering systems.

Yazar Ek Girişi
Tuğlular, Tuğkan,

Tüzel Kişi Ek Girişi
İzmir Institute of Technology. Computer Engineering.

Tek Biçim Eser Adı
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).

Elektronik Erişim
Access to Electronic Versiyon.

KütüphaneMateryal TürüDemirbaş NumarasıYer NumarasıDurumu/İade Tarihi
IYTETezT001801Q335.7 .K289 2018Tez Koleksiyonu