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Long-Form Open-Domain Question-Answering System Architecture [PDF]
International Journal of Intelligent Computing and Information Sciences, 2023 Question Answering is one of the challenging points of research in natural language processing recently. The problem of automating the answering process for the user’s queries became required.
Moataz Seliem, Salsabil Amin, M Aref
doaj +1 more source
Question Answering System Over Semantic Web
IEEE Access, 2021 The Semantic Web contains a large amount of data in the form of knowledge bases. Question Answering system is the most promising way of retrieving data from the available knowledge base to the end-users, to get the appropriate result for their questions.
Aarthi Dhandapani, Viswanathan Vadivel
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Measurement of Word Similarity for Diabetes Question Answering System
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2023 Diabetes is a chronic disease that cannot be cured and is a major problem for the public health of Thailand. The Department of Disease Control predicts that by 2025 there will be more than 7.41 million people in Thailand with diabetes.
Tanapol Chamnanhan +4 more
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AskHERMES: An online question answering system for complex clinical questions. [PDF]
J Biomed Inform, 2011 Cao Y +7 more
europepmc +2 more sources
A Vietnamese Question Answering System [PDF]
2009 International Conference on Knowledge and Systems Engineering, 2009 In Proceedings of the 2009 International Conference on Knowledge and Systems Engineering (KSE 2009).
Dai Quoc Nguyen +2 more
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A survey on textual entailment based question answering
Journal of King Saud University: Computer and Information Sciences, 2022 Question answering, an information retrieval system that seeks knowledge, is one of the classic applications in Natural Language Processing. A question answering system comprises numerous sets of subtasks.
Aarthi Paramasivam, S. Jaya Nirmala
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A Free Format Legal Question Answering System
NLLP, 2021 We present an information retrieval-based question answer system to answer legal questions. The system is not limited to a predefined set of questions or patterns and uses both sparse vector search and embeddings for input to a BERT-based answer re ...
Soha Khazaeli +7 more
semanticscholar +1 more source
Graph-based Question Answering System [PDF]
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018 In today's digital age in the dawning era of big data analytics it is not the information but the linking of information through entities and actions which defines the discourse. Any textual data either available on the Internet off off-line (like newspaper data, Wikipedia dump, etc) is basically connect information which cannot be treated isolated for
Piyush Mital +8 more
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Building a Question Answering System for the Manufacturing Domain
IEEE Access, 2022 The design or simulation analysis of special equipment products must follow the national standards, and hence it may be necessary to repeatedly consult the contents of the standards in the design process.
Liu Xingguang +6 more
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System [PDF]
Web Search and Data Mining, 2019 Deep pre-training and fine-tuning models (such as BERT and OpenAI GPT) have demonstrated excellent results in question answering areas. However, due to the sheer amount of model parameters, the inference speed of these models is very slow.
Ze Yang +4 more
semanticscholar +1 more source