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Статті в журналах з теми "Natural language processing, question answering, software engineering"
Nabavi, Armin, Issa Ramaji, Naimeh Sadeghi, and Anne Anderson. "Leveraging Natural Language Processing for Automated Information Inquiry from Building Information Models." Journal of Information Technology in Construction 28 (April 4, 2023): 266–85. http://dx.doi.org/10.36680/j.itcon.2023.013.
Повний текст джерелаGoar, Vishal, Nagendra Singh Yadav, and Pallavi Singh Yadav. "Conversational AI for Natural Language Processing: An Review of ChatGPT." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3s (March 11, 2023): 109–17. http://dx.doi.org/10.17762/ijritcc.v11i3s.6161.
Повний текст джерелаMima, Hideki, Susumu Ota, and Koji Nagatsuna. "Ontology-based query processing for understanding intentions of indirect speech acts in natural-language question answering." International Journal of Computer Applications in Technology 35, no. 2/3/4 (2009): 271. http://dx.doi.org/10.1504/ijcat.2009.026603.
Повний текст джерелаMoholkar, Kavita, and S. H. Patil. "Lioness Adapted GWO-Based Deep Belief Network Enabled with Multiple Features for a Novel Question Answering System." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no. 01 (February 2022): 93–114. http://dx.doi.org/10.1142/s0218488522500052.
Повний текст джерелаChurch, Kenneth Ward, Zeyu Chen, and Yanjun Ma. "Emerging trends: A gentle introduction to fine-tuning." Natural Language Engineering 27, no. 6 (October 26, 2021): 763–78. http://dx.doi.org/10.1017/s1351324921000322.
Повний текст джерелаDeshmukh, Prof Anushree, Smit Shah, Heena Puthran, and Naisargi Shah. "Virtual Shopping Assistant for Online Fashion Store." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 110–17. http://dx.doi.org/10.22214/ijraset.2022.42099.
Повний текст джерелаNguyen, Bao-An, and Don-Lin Yang. "A semi-automatic approach to construct Vietnamese ontology from online text." International Review of Research in Open and Distributed Learning 13, no. 5 (November 15, 2012): 148. http://dx.doi.org/10.19173/irrodl.v13i5.1250.
Повний текст джерелаA, Hlybovets, and Tsaruk A. "Software architecture of the question-answering subsystem with elements of self-learning." Artificial Intelligence 26, jai2021.26(2) (December 1, 2021): 88–95. http://dx.doi.org/10.15407/jai2021.02.088.
Повний текст джерелаAli, Miss Aliya Anam Shoukat. "AI-Natural Language Processing (NLP)." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (August 10, 2021): 135–40. http://dx.doi.org/10.22214/ijraset.2021.37293.
Повний текст джерелаDong, Wei Jun, and Guo Hua Geng. "Research and Implementation of Intelligent Question Answering System in MOOC." Applied Mechanics and Materials 678 (October 2014): 639–43. http://dx.doi.org/10.4028/www.scientific.net/amm.678.639.
Повний текст джерелаДисертації з теми "Natural language processing, question answering, software engineering"
Bergkvist, Alexander, Nils Hedberg, Sebastian Rollino, and Markus Sagen. "Surmize: An Online NLP System for Close-Domain Question-Answering and Summarization." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412247.
Повний текст джерелаMängden data som är tillgänglig och konsumeras av människor växer globalt. För att minska den mentala trötthet och öka den allmänna förmågan att få insikt i komplexa, massiva texter eller dokument, har vi utvecklat en applikation för att bistå i de uppgifterna. Applikationen tillåter användare att ladda upp dokument och fråga kontextspecifika frågor via vår webbapplikation. En sammanfattad version av varje dokument presenteras till användaren, vilket kan ytterligare förenkla förståelsen av ett dokument och vägleda dem mot vad som kan vara relevanta frågor att ställa. Vår applikation ger användare möjligheten att behandla olika typer av dokument, är tillgänglig för alla, sparar ingen personlig data, och använder de senaste modellerna inom språkbehandling för dess sammanfattningar och svar. Resultatet är en applikation som når en nära mänsklig intuition för vissa domäner och frågor, som exempelvis Wikipedia- och nyhetsartiklar, samt viss vetensaplig text. Noterade undantag för tillämpningen härrör från ämnets komplexitet, grammatiska korrekthet för frågorna och dokumentets längd. Dessa är områden som kan förbättras ytterligare om den används i produktionen.
Частини книг з теми "Natural language processing, question answering, software engineering"
Papathomas, Evangelos, Themistoklis Diamantopoulos, and Andreas Symeonidis. "Semantic Code Search in Software Repositories using Neural Machine Translation." In Fundamental Approaches to Software Engineering, 225–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99429-7_13.
Повний текст джерелаNaik, Neelam Pramod. "Performance Measurement of Natural Dialog System by Analyzing the Conversation." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 180–209. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9121-5.ch009.
Повний текст джерелаWu, Finch C. T., Oscar N. J. Hong, Amy J. C. Trappey, and Charles V. Trappey. "VR-Enabled Chatbot System Supporting Transformer Mass-Customization Services." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200088.
Повний текст джерелаShirafuji, Atsushi, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki, and Yutaka Watanobe. "Prompt Sensitivity of Language Model for Solving Programming Problems." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220264.
Повний текст джерелаDuží, Marie. "‘Knowing-that’ vs. ‘Knowing-wh’." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia220498.
Повний текст джерелаТези доповідей конференцій з теми "Natural language processing, question answering, software engineering"
Demner-Fushman, Dina. "Adapting naturally occurring test suites for evaluation of clinical question answering." In Software Engineering, Testing, and Quality Assurance for Natural Language Processing. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1622110.1622115.
Повний текст джерелаArbaaeen, Ammar, and Asadullah Shah. "Natural Language Processing based Question Answering Techniques: A Survey." In 2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS). IEEE, 2020. http://dx.doi.org/10.1109/icetas51660.2020.9484290.
Повний текст джерелаEzzini, Saad, Sallam Abualhaija, Chetan Arora, and Mehrdad Sabetzadeh. "AI-based Question Answering Assistance for Analyzing Natural-language Requirements." In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). IEEE, 2023. http://dx.doi.org/10.1109/icse48619.2023.00113.
Повний текст джерелаSarker, Jaydeb, Mustain Billah, and Md Al Mamun. "Textual Question Answering for Semantic Parsing in Natural Language Processing." In 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). IEEE, 2019. http://dx.doi.org/10.1109/icasert.2019.8934734.
Повний текст джерелаCao, Junkuo, and Xuanjing Huang. "Answering definitional question by dependency-based knowledge." In 2008 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2008. http://dx.doi.org/10.1109/nlpke.2008.4906809.
Повний текст джерелаWen, Dunwei, Shen Jiang, and Yangjian He. "A question answering system based on VerbNet frames." In 2008 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2008. http://dx.doi.org/10.1109/nlpke.2008.4906769.
Повний текст джерелаBrini, Wissal, Mariem Ellouze, Slim Mesfar, and Lamia Hadrich Belguith. "An Arabic question-answering system for factoid questions." In 2009 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2009. http://dx.doi.org/10.1109/nlpke.2009.5313730.
Повний текст джерелаYang, Ye, Song Liu, Shingo Kuroiwa, and Fuji Ren. "Question Answering System of Confucian Analects based on Pragmatics Information and Categories." In 2007 International Conference on Natural Language Processing and Knowledge Engineering. IEEE, 2007. http://dx.doi.org/10.1109/nlpke.2007.4368056.
Повний текст джерелаJia, Keliang, Yongle Sun, and Zhinuo Li. "Answer extraction based on query expansion in Chinese question answering system." In 2008 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2008. http://dx.doi.org/10.1109/nlpke.2008.4906756.
Повний текст джерелаOu, Shiyan, Dalila Mekhaldi, and Constantin Orasan. "An ontology-based question answering method with the use of textual entailment." In 2009 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2009. http://dx.doi.org/10.1109/nlpke.2009.5313770.
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