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Turkey's Role in the Syrian Refugee Crisis: An Interview with Kemal Kirişci
The Syrian war has simultaneously caused great humanitarian need for displaced refugees and placed incredible economic and social strain on the countries in which they have settled. Looking at the recent EU-Turkey deal begs the question: what does the future hold for Syrian refugees? Kemal Kirişci reflects on his research and experiences in refugee camps and evaluates the likely challenges in the future.
Journal Article
Global Nonproliferation after the Iran Deal: An Interview with Ambassador Adam Scheinman
In July 2015, the Iran nuclear deal was successfully negotiated in the midst of many questions and concerns. Adam Scheinman argues that, if properly enforced, the deal will effectively prevent Iran from developing nuclear weapons. He also contends that, albeit slowly, the United States should continue to cooperate with its partners for global nonproliferation and nuclear disarmament.
Journal Article
A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)
A conversational chatbot or dialogue system is a computer program designed to simulate conversation with human users, especially over the Internet. These chatbots can be integrated into messaging apps, mobile apps, or websites, and are designed to engage in natural language conversations with users. There are also many applications in which chatbots are used for educational support to improve students’ performance during the learning cycle. The recent success of ChatGPT also encourages researchers to explore more possibilities in the field of chatbot applications. One of the main benefits of conversational chatbots is their ability to provide an instant and automated response, which can be leveraged in many application areas. Chatbots can handle a wide range of inquiries and tasks, such as answering frequently asked questions, booking appointments, or making recommendations. Modern conversational chatbots use artificial intelligence (AI) techniques, such as natural language processing (NLP) and artificial neural networks, to understand and respond to users’ input. In this study, we will explore the objectives of why chatbot systems were built and what key methodologies and datasets were leveraged to build a chatbot. Finally, the achievement of the objectives will be discussed, as well as the associated challenges and future chatbot development trends.
Journal Article
