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    Deep Learning for Community Question Answering

    , M.Sc. Thesis Sharif University of Technology Lotfi, Fariba (Author) ; Beigy, Hamid (Supervisor) ; Soleymani Baghshah, Mahdie (Supervisor)
    Abstract
    In recent years, The Web has become an environment for sharing the knowledge of users, which as its popular examples can refer to question and answering communities. In QA communities such as Quora, StackOverflow and Yahoo! Answers, People exchange information through online questions and answers. Thus, These communities have become valuable resources of information with the participation of users. Several issues have been raised in these communities. One of the issues raised in these communities is to automatically fnd similar questions to a question and then fnd the answers that are related to it among the available answers. Other issues raised in these communities include choosing the... 

    Performance Evaluation and Improvement of Duplicate Question Detection in Developers’ Online Q&A Community

    , M.Sc. Thesis Sharif University of Technology Daliri, Majid (Author) ; Habibi, Jafar (Supervisor)
    Abstract
    In this research, we study one of the challenges in the field of software engineering, namely the detection of diplicate questions in Stackoverflow, the Q&A community of programmers. The works done in this area has problems such as complexity and reduced performance over time. The proposed solution is based on machine learning and modern representation learning methods. Representation is done with two approaches, domain specific learning and transfer learning. Fasttext and GloVe, the two word embeddings used in domain specific learning, and in transfer learning, the embedding of the universal sentence encoder has been used. Support vector machine and multilayer perceptron used as...