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Attention-based model for predicting question relatedness on Stack Overflow

arXiv.org Artificial Intelligence

Abstract--Stack Overflow is one of the most popular Programming Community-based Question Answering (PCQA) websites that has attracted more and more users in recent years. When users raise or inquire questions in Stack Overflow, providing related questions can help them solve problems. Although there are many approaches based on deep learning that can automatically predict the relatedness between questions, those approaches are limited since interaction information between two questions may be lost. In this paper, we adopt the deep learning technique, propose an Attention-based Sentence pair Interaction Model (ASIM) to predict the relatedness between questions on Stack Overflow automatically. We adopt the attention mechanism to capture the semantic interaction information between the questions. Besides, we have pre-trained and released word embeddings specific to the software engineering domain for this task, which may also help other related tasks. The experiment results demonstrate that ASIM has made significant improvement over the baseline approaches in Precision, Recall, and Micro-F1 evaluation metrics, achieving state-of-the-art performance in this task. Our model also performs well in the duplicate question detection task of AskUbuntu, which is a similar but different task, proving its generalization and robustness. The continuous progress of the information industry has caused more and more people to engage in software development. Therefore, Programming Community-based Question questions related to the question raised or being inquired by Answering (PCQA) websites have attracted a large number users can effectively help them solve problems.


Pakistan police, kin seek murder charge over driver killed along with Taliban chief in U.S. drone strike

The Japan Times

QUETTA, PAKISTAN – The family of a driver who was killed alongside Taliban chief Mullah Akhtar Mansour in a U.S. drone strike in Pakistan has filed a case against U.S. officials, seeking to press murder charges, police said Sunday. Mansour had entered Pakistan from Iran using a false name and fake Pakistani identity documents on May 21, when his car was targeted by a U.S. drone. The driver, who was also killed, was later identified as Mohammed Azam. The police filed a case on behalf of Azam's family, police official Abdul Wakil Mengal said. It was not immediately clear what legal avenues the family can realistically pursue.