Browsing by Author "Keklik, Onur"

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Automatic question generation using natural language processing techniques
(Izmir Institute of Technology, 2018-07) Keklik, Onur; Tuğlular, Tuğkan; Tuğlular, Tuğkan; Tekir, Selma
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.
Citation - WoS: 6
Rule-Based Automatic Question Generation Using Semantic Role Labeling
(Ieice-inst Electronics information Communication Engineers, 2019) Keklik, Onur; Tuglular, Tugkan; Tekir, Selma; Tuğlular, Tuğkan; Bilgisayar Mühendisliği Bölümü
This paper 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. 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. Especially, with respect to METEOR metric, the designed system significantly outperforms all other systems in automatic evaluation. As for human evaluation, the designed system exhibits similar performance by generating the most natural (human-like) questions.