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A survey on complex factual question answering
AI Open, 2023 Answering complex factual questions has drawn a lot of attention. Researchers leverage various data sources to support complex QA, such as unstructured texts, structured knowledge graphs and relational databases, semi-structured web tables, or even ...
Lingxi Zhang +7 more
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TASTA: Text‐Assisted Spatial and Temporal Attention Network for Video Question Answering
Advanced Intelligent Systems, 2023 Video question answering (VideoQA) is a typical task that integrates language and vision. The key for VideoQA is to extract relevant and effective visual information for answering a specific question. Information selection is believed to be necessary for
Tian Wang +5 more
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Applied Sciences, 2021 Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community.
Di Jin +5 more
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A question-entailment approach to question answering [PDF]
BMC Bioinformatics, 2019 Background One of the challenges in large-scale information retrieval (IR) is developing fine-grained and domain-specific methods to answer natural language questions.
Asma Ben Abacha, Dina Demner-Fushman
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Geo-analytical question-answering with GIS
International Journal of Digital Earth, 2021 Question Answering (QA), the process of computing valid answers to questions formulated in natural language, has recently gained attention in both industry and academia.
Simon Scheider +3 more
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Arabic Question Answering Systems: Gap Analysis
IEEE Access, 2021 Question-answering (QA) systems aim to provide answers for given questions. The answers can be extracted or generated from either unstructured or structured text.
Mariam M. Biltawi +2 more
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A Comprehensive Review and Open Challenges on Visual Question Answering Models
AiBi Revista de Investigación, Administración e Ingeniería, 2023 Users are now able to actively interact with images and pose different questions based on images, thanks to recent developments in artificial intelligence. In turn, a response in a natural language answer is expected.
Fasi Ahamad Shaik +4 more
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SBVQA 2.0: Robust End-to-End Speech-Based Visual Question Answering for Open-Ended Questions
IEEE Access, 2023 Speech-based Visual Question Answering (SBVQA) is a challenging task that aims to answer spoken questions about images. The challenges of this task involve the variability of speakers, the different recording environments, as well as the various objects ...
Faris Alasmary, Saad Al-Ahmadi
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Applied Sciences, 2023 In the field of question answering-based knowledge graphs, due to the complexity of the construction of knowledge graphs, a domain-specific knowledge graph often cannot contain some common-sense knowledge, which makes it impossible to answer questions ...
Xiang Wang +3 more
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Survey of Multimodal Medical Question Answering
BioMedInformatics, 2023 Multimodal medical question answering (MMQA) is a vital area bridging healthcare and Artificial Intelligence (AI). This survey methodically examines the MMQA research published in recent years.
Hilmi Demirhan, Wlodek Zadrozny
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