WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Conference Object Information and Communication Technology Sector Strategy Map of Izmir(LookUs Scientific, 2013) Tuğlular, Tuğkan; Tuğlular, Tuğkan; Tekir, Selma; Velibeyoğlu, Koray; Velibeyoğlu, Koray; Tekir, Selma; 02.03. Department of City and Regional Planning; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 02. Faculty of Architecture; 01. Izmir Institute of TechnologyThis study aims to understand current dynamics of the Izmir's ICT sector by looking at its dynamics and mapping the spatial distribution of the firms. It is based on series of analysis produced for Izmir Development Agency in 2012 within the frame of preparation of 2014-2023 Izmir Regional Development Plan. It conducts a Delphi survey to support situation knowledge as well as trend prediction for the next 10 years' period. Furthermore, gap analysis is performed to measure the margin between the current situation of the ICT sector and future trends predicted by experts. The study also maps Izmir's ICT sector's location preferences based on Izmir Chamber of Commerce's publicly available web-based database. It illustrated that ICT sector's trend largely based on centripetal and spontaneously developed clusters placed in the central part of the city. On the other hand, planned technology regions and science parks are relatively immature and need to be developed. Within the light of this dichotomy this study proposes a strategy map to Izmir's ICT sector.Article Citation - WoS: 9Citation - Scopus: 14Rule-Based Automatic Question Generation Using Semantic Role Labeling(Institute of Electronics, Information and Communication Engineers, 2019) Keklik, Onur; Tekir, Selma; Tuğlular, Tuğkan; Tuğlular, Tuğkan; Tekir, Selma; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyThis 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.