Search Results - "Mozafari, Jamshid"

PersianQuAD: The Native Question Answering Dataset for the Persian Language by Kazemi, Arefeh, Mozafari, Jamshid, Nematbakhsh, Mohammad Ali

“…Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems…”
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PerAnSel:  A  Novel Deep Neural Network-Based System for Persian Question Answering by Mozafari, Jamshid, Kazemi, Arefeh, Moradi, Parham, Nematbakhsh, Mohammad Ali

“…Question answering (QA) systems have attracted considerable attention in recent years. They receive the user’s questions in natural language and respond to…”
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FarsNewsQA: a deep learning-based question answering system for the Persian news articles by Kazemi, Arefeh, Zojaji, Zahra, Malverdi, Mahdi, Mozafari, Jamshid, Ebrahimi, Fatemeh, Abadani, Negin, Varasteh, Mohammad Reza, Nematbakhsh, Mohammad Ali

“…Nowadays, a considerable volume of news articles is produced daily by news agencies worldwide. Since there is an extensive volume of news on the web, finding…”
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ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages by Piryani, Bhawna, Mozafari, Jamshid, Jatowt, Adam

“…Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) Question answering (QA) and…”
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TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions by Mozafari, Jamshid, Jangra, Anubhav, Jatowt, Adam

“…Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) Nowadays, individuals tend to…”
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Detecting Temporal Ambiguity in Questions by Piryani, Bhawna, Abdallah, Abdelrahman, Mozafari, Jamshid, Jatowt, Adam

“…Detecting and answering ambiguous questions has been a challenging task in open-domain question answering. Ambiguous questions have different answers depending…”
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Exploring Hint Generation Approaches in Open-Domain Question Answering by Mozafari, Jamshid, Abdallah, Abdelrahman, Piryani, Bhawna, Jatowt, Adam

“…Automatic Question Answering (QA) systems rely on contextual information to provide accurate answers. Commonly, contexts are prepared through either…”
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Navigating the Landscape of Hint Generation Research: From the Past to the Future by Jangra, Anubhav, Mozafari, Jamshid, Jatowt, Adam, Muresan, Smaranda

“…Digital education has gained popularity in the last decade, especially after the COVID-19 pandemic. With the improving capabilities of large language models to…”
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A Method For Answer Selection Using DistilBERT And Important Words by Mozafari, Jamshid, Fatemi, Afsaneh, Moradi, Parham

“…Question Answering is a hot topic in artificial intelligence and has many real-world applications. This field aims at generating an answer to the user's…”
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BAS: An Answer Selection Method Using BERT Language Model by Mozafari, Jamshid, Fatemi, Afsaneh, Nematbakhsh, Mohammad Ali

“…Journal of Computing and Security 8 (2021) 1-18 In recent years, Question Answering systems have become more popular and widely used by users. Despite the…”
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Improved Answer Selection For Factoid Questions by Mozafari, Jamshid, NematBakhsh, MohammadAli, Fatemi, Afsaneh

“…In recent years, question and answer systems and information retrieval have been widely used by web users. The purpose of these systems is to find answers to…”
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Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering by Mozafari, Jamshid, Nematbakhsh, Mohammad Ali, Fatemi, Afsaneh

“…Over the past few years, question answering and information retrieval systems have become widely used. These systems attempt to find the answer of the asked…”
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ParSQuAD: Machine Translated SQuAD dataset for Persian Question Answering by Abadani, Negin, Mozafari, Jamshid, Fatemi, Afsaneh, Nematbakhsh, Mohammd Ali, Kazemi, Arefeh

“…Recent advances in the field of Question Answering (QA) have improved state-of-the-art results. Due to the availability of rich English training datasets for…”
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