Literatura académica sobre el tema "Natural language processing (Computer science)"
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Artículos de revistas sobre el tema "Natural language processing (Computer science)"
Geetha, Dr V., Dr C. K. Gomathy, Mr D. Sri Datta Vallab Yaratha Yagn y Sai Praneesh. "THE ROLE OF NATURAL LANGUAGE PROCESSING". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, n.º 11 (1 de noviembre de 2023): 1–11. http://dx.doi.org/10.55041/ijsrem27094.
Texto completoWilks, Yorick. "Natural language processing". Communications of the ACM 39, n.º 1 (enero de 1996): 60–62. http://dx.doi.org/10.1145/234173.234180.
Texto completoSelfridge, Mallory. "Natural language processing". Artificial Intelligence in Engineering 2, n.º 1 (enero de 1987): 50. http://dx.doi.org/10.1016/0954-1810(87)90076-8.
Texto completoPrema, M., Dr V. Raju y M. Ramya. "Natural Language Processing for Data Science Workforce Analysis". Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 13, n.º 4 (30 de diciembre de 2022): 225–32. http://dx.doi.org/10.58346/jowua.2022.i4.015.
Texto completoCunliffe, Daniel, Andreas Vlachidis, Daniel Williams y Douglas Tudhope. "Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit". Computer Speech & Language 72 (marzo de 2022): 101311. http://dx.doi.org/10.1016/j.csl.2021.101311.
Texto completoZheng, Haotian, Kangming Xu, Huiming Zhou, Yufu Wang y Guangze Su. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis". Academic Journal of Science and Technology 10, n.º 1 (26 de marzo de 2024): 62–68. http://dx.doi.org/10.54097/v160aa61.
Texto completoHeidorn, P. Bryan. "Natural language processing". Information Processing & Management 32, n.º 1 (enero de 1996): 122–23. http://dx.doi.org/10.1016/s0306-4573(96)90089-8.
Texto completoSøgaard, Anders. "Explainable Natural Language Processing". Synthesis Lectures on Human Language Technologies 14, n.º 3 (21 de septiembre de 2021): 1–123. http://dx.doi.org/10.2200/s01118ed1v01y202107hlt051.
Texto completoThessen, Anne E., Hong Cui y Dmitry Mozzherin. "Applications of Natural Language Processing in Biodiversity Science". Advances in Bioinformatics 2012 (22 de mayo de 2012): 1–17. http://dx.doi.org/10.1155/2012/391574.
Texto completoKing, Margaret. "Evaluating natural language processing systems". Communications of the ACM 39, n.º 1 (enero de 1996): 73–79. http://dx.doi.org/10.1145/234173.234208.
Texto completoTesis sobre el tema "Natural language processing (Computer science)"
Naphtal, Rachael (Rachael M. ). "Natural language processing based nutritional application". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100640.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 67-68).
The ability to accurately and eciently track nutritional intake is a powerful tool in combating obesity and other food related diseases. Currently, many methods used for this task are time consuming or easily abandoned; however, a natural language based application that converts spoken text to nutritional information could be a convenient and eective solution. This thesis describes the creation of an application that translates spoken food diaries into nutritional database entries. It explores dierent methods for solving the problem of converting brands, descriptions and food item names into entries in nutritional databases. Specifically, we constructed a cache of over 4,000 food items, and also created a variety of methods to allow refinement of database mappings. We also explored methods of dealing with ambiguous quantity descriptions and the mapping of spoken quantity values to numerical units. When assessed by 500 users entering their daily meals on Amazon Mechanical Turk, the system was able to map 83.8% of the correctly interpreted spoken food items to relevant nutritional database entries. It was also able to nd a logical quantity for 92.2% of the correct food entries. Overall, this system shows a signicant step towards the intelligent conversion of spoken food diaries to actual nutritional feedback.
by Rachael Naphtal.
M. Eng.
Cosh, Kenneth John. "Supporting organisational semiotics with natural language processing techniques". Thesis, Lancaster University, 2003. http://eprints.lancs.ac.uk/12351/.
Texto completo張少能 y Siu-nang Bruce Cheung. "A concise framework of natural language processing". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31208563.
Texto completoLei, Tao Ph D. Massachusetts Institute of Technology. "Interpretable neural models for natural language processing". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108990.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 109-119).
The success of neural network models often comes at a cost of interpretability. This thesis addresses the problem by providing justifications behind the model's structure and predictions. In the first part of this thesis, we present a class of sequence operations for text processing. The proposed component generalizes from convolution operations and gated aggregations. As justifications, we relate this component to string kernels, i.e. functions measuring the similarity between sequences, and demonstrate how it encodes the efficient kernel computing algorithm into its structure. The proposed model achieves state-of-the-art or competitive results compared to alternative architectures (such as LSTMs and CNNs) across several NLP applications. In the second part, we learn rationales behind the model's prediction by extracting input pieces as supporting evidence. Rationales are tailored to be short and coherent, yet sufficient for making the same prediction. Our approach combines two modular components, generator and encoder, which are trained to operate well together. The generator specifies a distribution over text fragments as candidate rationales and these are passed through the encoder for prediction. Rationales are never given during training. Instead, the model is regularized by the desiderata for rationales. We demonstrate the effectiveness of this learning framework in applications such multi-aspect sentiment analysis. Our method achieves a performance over 90% evaluated against manual annotated rationales.
by Tao Lei.
Ph. D.
Grinman, Alex J. "Natural language processing on encrypted patient data". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/113438.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 85-86).
While many industries can benefit from machine learning techniques for data analysis, they often do not have the technical expertise nor computational power to do so. Therefore, many organizations would benefit from outsourcing their data analysis. Yet, stringent data privacy policies prevent outsourcing sensitive data and may stop the delegation of data analysis in its tracks. In this thesis, we put forth a two-party system where one party capable of powerful computation can run certain machine learning algorithms from the natural language processing domain on the second party's data, where the first party is limited to learning only specific functions of the second party's data and nothing else. Our system provides simple cryptographic schemes for locating keywords, matching approximate regular expressions, and computing frequency analysis on encrypted data. We present a full implementation of this system in the form of a extendible software library and a command line interface. Finally, we discuss a medical case study where we used our system to run a suite of unmodified machine learning algorithms on encrypted free text patient notes.
by Alex J. Grinman.
M. Eng.
Cheung, Siu-nang Bruce. "A concise framework of natural language processing /". [Hong Kong : University of Hong Kong], 1989. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12432544.
Texto completoShepherd, David. "Natural language program analysis combining natural language processing with program analysis to improve software maintenance tools /". Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 176 p, 2007. http://proquest.umi.com/pqdweb?did=1397920371&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Texto completoBajwa, Imran Sarwar. "A natural language processing approach to generate SBVR and OCL". Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/4890/.
Texto completoStrandberg, Aron y Patrik Karlström. "Processing Natural Language for the Spotify API : Are sophisticated natural language processing algorithms necessary when processing language in a limited scope?" Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186867.
Texto completoBigert, Johnny. "Automatic and unsupervised methods in natural language processing". Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156.
Texto completoLibros sobre el tema "Natural language processing (Computer science)"
Cohen, Kevin Bretonnel y Dina Demner-Fushman. Biomedical natural language processing. Amsterdam: John Benjamins Publishing Company, 2014.
Buscar texto completoShwartz, Steven P. Applied natural language processing. Princeton, N.J: Petrocelli Books, 1987.
Buscar texto completoAnnie, Gal, ed. Prolog for natural language processing. Chichester [England]: Wiley, 1991.
Buscar texto completoTomek, Strzalkowski, ed. Reversible grammar in natural language processing. Boston: Kluwer Acadmic Publishers, 1994.
Buscar texto completoIndurkhya, Nitin. Handbook of natural language processing. Boca Raton, FL: Chapman & Hall/CRC, 2010.
Buscar texto completo1959-, Dale Robert, Moisl Hermann 1949- y Somers H. L, eds. Handbook of natural language processing. New York: Marcel Dekker, 2000.
Buscar texto completo1939-, Wilks Yorick, ed. Theoretical issues in natural language processing. Hillsdale, N.J: L. Erlbaum, 1989.
Buscar texto completoSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Buscar texto completoSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Buscar texto completoSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Natural language processing (Computer science)"
Kacalak, Wojciech, Keith Douglas Stuart y Maciej Majewski. "Intelligent Natural Language Processing". En Lecture Notes in Computer Science, 584–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881070_79.
Texto completoIgual, Laura y Santi Seguí. "Basics of Natural Language Processing". En Undergraduate Topics in Computer Science, 195–210. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48956-3_10.
Texto completoHrycej, Tomas, Bernhard Bermeitinger, Matthias Cetto y Siegfried Handschuh. "Specific Problems of Natural Language Processing". En Texts in Computer Science, 167–94. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19074-2_6.
Texto completoTeufl, Peter, Udo Payer y Guenter Lackner. "From NLP (Natural Language Processing) to MLP (Machine Language Processing)". En Lecture Notes in Computer Science, 256–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14706-7_20.
Texto completoMajewski, Maciej y Wojciech Kacalak. "Intelligent System for Natural Language Processing". En Lecture Notes in Computer Science, 742–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_93.
Texto completoSbattella, Licia y Roberto Tedesco. "Knowledge Extraction from Natural Language Processing". En Lecture Notes in Computer Science, 193–219. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31739-2_10.
Texto completoQuarteroni, Silvia. "Natural Language Processing for the Web". En Lecture Notes in Computer Science, 508–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31753-8_57.
Texto completoBarbero, Cristina y Vincenzo Lombardo. "Dependency graphs in natural language processing". En Lecture Notes in Computer Science, 115–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60437-5_11.
Texto completoHernández-Castillo, Carlos, Héctor Hiram Guedea-Noriega, Miguel Ángel Rodríguez-García y Francisco García-Sánchez. "Pest Recognition Using Natural Language Processing". En Communications in Computer and Information Science, 3–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34989-9_1.
Texto completoBlache, Philippe. "Constraints, Linguistic Theories, and Natural Language Processing". En Lecture Notes in Computer Science, 221–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45154-4_21.
Texto completoActas de conferencias sobre el tema "Natural language processing (Computer science)"
Ananiadou, Sophia. "Natural Language Processing for Biomedicine". En The 7th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2021. http://dx.doi.org/10.11159/cist21.002.
Texto completoLópez-Ostenero, Fernando, Laura Plaza, Juan Martinez-Romo y Lourdes Araujo. "NATURAL LANGUAGE PROCESSING FOR DATA MINING IN COMPUTER SCIENCE EDUCATION". En 12th International Conference on Education and New Learning Technologies. IATED, 2020. http://dx.doi.org/10.21125/edulearn.2020.0731.
Texto completoPercovich, Analia, Alejandro Tosi, Luis Chiruzzo y Aiala Rosa. "Ludic Applications for Language Teaching Support using Natural Language Processing". En 2019 38th International Conference of the Chilean Computer Science Society (SCCC). IEEE, 2019. http://dx.doi.org/10.1109/sccc49216.2019.8966429.
Texto completoRager, John E. "Two-level grammars and robustness in natural language processing". En the 22nd annual ACM computer science conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/197530.197656.
Texto completoAyanzadeh, Ramin. "Quantum Artificial Intelligence for Natural Language Processing Applications". En SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159450.3162338.
Texto completoJain, Harsh y Keshav Mathur. "Natural Language Processing Through Different Classes of Machine Learning". En Fourth International conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2014. http://dx.doi.org/10.5121/csit.2014.4226.
Texto completoZlatareva, Neli y Devansh Amin. "Processing Natural Language Queries in Semantic Web Applications". En The 7th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2021. http://dx.doi.org/10.11159/cist21.108.
Texto completoGohad, Ameya, Anay Vyawahare, Anmol Gupta, Kashish Sharma, Keyur Dhage, Nilesh Shelke y Jagdish Patani. "ATS: Auto Text Summarization using Natural Language Processing". En 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2024. http://dx.doi.org/10.1109/sceecs61402.2024.10482227.
Texto completoYin, Qi-Jin, Shao-Ping Wang, Yi-Nan Miao y Dou Xin. "Chinese Natural Language Processing Based on Semantic Structure Tree". En 2015 International Conference on Computer Science and Applications (CSA). IEEE, 2015. http://dx.doi.org/10.1109/csa.2015.65.
Texto completoVarga, Bernadette, Alina Dia Trambitas-Miron, Andrei Roth, Anca Marginean, Radu Razvan Slavescu y Adrian Groza. "LELA - A natural language processing system for Romanian tourism". En 2014 Federated Conference on Computer Science and Information Systems. IEEE, 2014. http://dx.doi.org/10.15439/2014f323.
Texto completoInformes sobre el tema "Natural language processing (Computer science)"
Furey, John, Austin Davis y Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/41960.
Texto completoVolkova, Nataliia P., Nina O. Rizun y Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3241.
Texto completoMurdick, Dewey, Daniel Chou, Ryan Fedasiuk y Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, marzo de 2021. http://dx.doi.org/10.51593/20200057.
Texto completoLatorre, Lucia, Valentín Muro, Eduardo Rego, Mariana Gutierrez, Ignacio Cerrato y Jose Daniel Zarate. Tech Report Artificial Intelligence. Inter-American Development Bank, junio de 2024. http://dx.doi.org/10.18235/0013015.
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