Papers by Sinem Guven

2 papers
Technical Question Answering across Tasks and Domains (2021.naacl-industry)

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Challenge: Existing methods for technical QA have a limited data size and question and answer overlaps .
Approach: They propose a framework of deep transfer learning to address technical QA across tasks and domains using document retrieval and reading comprehension tasks.
Outcome: The proposed framework performs better than state-of-the-art methods on the TechQA task.
A Technical Question Answering System with Transfer Learning (2020.emnlp-demos)

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Challenge: StackOverflow and AskUbuntu are popular open forum communities for technical question-answering, but it is expensive for human experts to provide timely and helpful responses.
Approach: They develop a system that automatically responds to questions from a siamese ALBERT network based on previously answered questions .
Outcome: The proposed system responds automatically to questions based on answers from previous users.

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