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Artykuły w czasopismach na temat "Natural language processing (Computer science)"
Geetha, Dr V., Dr C. K. Gomathy, Mr D. Sri Datta Vallab Yaratha Yagn i Sai Praneesh. "THE ROLE OF NATURAL LANGUAGE PROCESSING". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, nr 11 (1.11.2023): 1–11. http://dx.doi.org/10.55041/ijsrem27094.
Pełny tekst źródłaWilks, Yorick. "Natural language processing". Communications of the ACM 39, nr 1 (styczeń 1996): 60–62. http://dx.doi.org/10.1145/234173.234180.
Pełny tekst źródłaSelfridge, Mallory. "Natural language processing". Artificial Intelligence in Engineering 2, nr 1 (styczeń 1987): 50. http://dx.doi.org/10.1016/0954-1810(87)90076-8.
Pełny tekst źródłaPrema, M., Dr V. Raju i M. Ramya. "Natural Language Processing for Data Science Workforce Analysis". Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 13, nr 4 (30.12.2022): 225–32. http://dx.doi.org/10.58346/jowua.2022.i4.015.
Pełny tekst źródłaCunliffe, Daniel, Andreas Vlachidis, Daniel Williams i Douglas Tudhope. "Natural language processing for under-resourced languages: Developing a Welsh natural language toolkit". Computer Speech & Language 72 (marzec 2022): 101311. http://dx.doi.org/10.1016/j.csl.2021.101311.
Pełny tekst źródłaZheng, Haotian, Kangming Xu, Huiming Zhou, Yufu Wang i Guangze Su. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis". Academic Journal of Science and Technology 10, nr 1 (26.03.2024): 62–68. http://dx.doi.org/10.54097/v160aa61.
Pełny tekst źródłaHeidorn, P. Bryan. "Natural language processing". Information Processing & Management 32, nr 1 (styczeń 1996): 122–23. http://dx.doi.org/10.1016/s0306-4573(96)90089-8.
Pełny tekst źródłaSøgaard, Anders. "Explainable Natural Language Processing". Synthesis Lectures on Human Language Technologies 14, nr 3 (21.09.2021): 1–123. http://dx.doi.org/10.2200/s01118ed1v01y202107hlt051.
Pełny tekst źródłaThessen, Anne E., Hong Cui i Dmitry Mozzherin. "Applications of Natural Language Processing in Biodiversity Science". Advances in Bioinformatics 2012 (22.05.2012): 1–17. http://dx.doi.org/10.1155/2012/391574.
Pełny tekst źródłaKing, Margaret. "Evaluating natural language processing systems". Communications of the ACM 39, nr 1 (styczeń 1996): 73–79. http://dx.doi.org/10.1145/234173.234208.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaThis 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/.
Pełny tekst źródła張少能 i 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.
Pełny tekst źródłaLei, 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.
Pełny tekst źródłaCataloged 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.
Pełny tekst źródłaThis 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.
Pełny tekst źródłaShepherd, 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.
Pełny tekst źródłaBajwa, 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/.
Pełny tekst źródłaStrandberg, Aron, i 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.
Pełny tekst źródłaBigert, 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.
Pełny tekst źródłaKsiążki na temat "Natural language processing (Computer science)"
Cohen, Kevin Bretonnel, i Dina Demner-Fushman. Biomedical natural language processing. Amsterdam: John Benjamins Publishing Company, 2014.
Znajdź pełny tekst źródłaShwartz, Steven P. Applied natural language processing. Princeton, N.J: Petrocelli Books, 1987.
Znajdź pełny tekst źródłaAnnie, Gal, red. Prolog for natural language processing. Chichester [England]: Wiley, 1991.
Znajdź pełny tekst źródłaTomek, Strzalkowski, red. Reversible grammar in natural language processing. Boston: Kluwer Acadmic Publishers, 1994.
Znajdź pełny tekst źródłaIndurkhya, Nitin. Handbook of natural language processing. Boca Raton, FL: Chapman & Hall/CRC, 2010.
Znajdź pełny tekst źródła1959-, Dale Robert, Moisl Hermann 1949- i Somers H. L, red. Handbook of natural language processing. New York: Marcel Dekker, 2000.
Znajdź pełny tekst źródła1939-, Wilks Yorick, red. Theoretical issues in natural language processing. Hillsdale, N.J: L. Erlbaum, 1989.
Znajdź pełny tekst źródłaSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Znajdź pełny tekst źródłaSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Znajdź pełny tekst źródłaSiddiqui, Tanveer. Natural language processing and information retrieval. New Delhi: Oxford Univ Press, 2008.
Znajdź pełny tekst źródłaCzęści książek na temat "Natural language processing (Computer science)"
Kacalak, Wojciech, Keith Douglas Stuart i Maciej Majewski. "Intelligent Natural Language Processing". W Lecture Notes in Computer Science, 584–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881070_79.
Pełny tekst źródłaIgual, Laura, i Santi Seguí. "Basics of Natural Language Processing". W Undergraduate Topics in Computer Science, 195–210. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-48956-3_10.
Pełny tekst źródłaHrycej, Tomas, Bernhard Bermeitinger, Matthias Cetto i Siegfried Handschuh. "Specific Problems of Natural Language Processing". W Texts in Computer Science, 167–94. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19074-2_6.
Pełny tekst źródłaTeufl, Peter, Udo Payer i Guenter Lackner. "From NLP (Natural Language Processing) to MLP (Machine Language Processing)". W 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.
Pełny tekst źródłaMajewski, Maciej, i Wojciech Kacalak. "Intelligent System for Natural Language Processing". W 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.
Pełny tekst źródłaSbattella, Licia, i Roberto Tedesco. "Knowledge Extraction from Natural Language Processing". W 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.
Pełny tekst źródłaQuarteroni, Silvia. "Natural Language Processing for the Web". W 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.
Pełny tekst źródłaBarbero, Cristina, i Vincenzo Lombardo. "Dependency graphs in natural language processing". W Lecture Notes in Computer Science, 115–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60437-5_11.
Pełny tekst źródłaHernández-Castillo, Carlos, Héctor Hiram Guedea-Noriega, Miguel Ángel Rodríguez-García i Francisco García-Sánchez. "Pest Recognition Using Natural Language Processing". W 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.
Pełny tekst źródłaBlache, Philippe. "Constraints, Linguistic Theories, and Natural Language Processing". W Lecture Notes in Computer Science, 221–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45154-4_21.
Pełny tekst źródłaStreszczenia konferencji na temat "Natural language processing (Computer science)"
Ananiadou, Sophia. "Natural Language Processing for Biomedicine". W The 7th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2021. http://dx.doi.org/10.11159/cist21.002.
Pełny tekst źródłaLópez-Ostenero, Fernando, Laura Plaza, Juan Martinez-Romo i Lourdes Araujo. "NATURAL LANGUAGE PROCESSING FOR DATA MINING IN COMPUTER SCIENCE EDUCATION". W 12th International Conference on Education and New Learning Technologies. IATED, 2020. http://dx.doi.org/10.21125/edulearn.2020.0731.
Pełny tekst źródłaPercovich, Analia, Alejandro Tosi, Luis Chiruzzo i Aiala Rosa. "Ludic Applications for Language Teaching Support using Natural Language Processing". W 2019 38th International Conference of the Chilean Computer Science Society (SCCC). IEEE, 2019. http://dx.doi.org/10.1109/sccc49216.2019.8966429.
Pełny tekst źródłaRager, John E. "Two-level grammars and robustness in natural language processing". W the 22nd annual ACM computer science conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/197530.197656.
Pełny tekst źródłaAyanzadeh, Ramin. "Quantum Artificial Intelligence for Natural Language Processing Applications". W 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.
Pełny tekst źródłaJain, Harsh, i Keshav Mathur. "Natural Language Processing Through Different Classes of Machine Learning". W Fourth International conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2014. http://dx.doi.org/10.5121/csit.2014.4226.
Pełny tekst źródłaZlatareva, Neli, i Devansh Amin. "Processing Natural Language Queries in Semantic Web Applications". W The 7th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2021. http://dx.doi.org/10.11159/cist21.108.
Pełny tekst źródłaGohad, Ameya, Anay Vyawahare, Anmol Gupta, Kashish Sharma, Keyur Dhage, Nilesh Shelke i Jagdish Patani. "ATS: Auto Text Summarization using Natural Language Processing". W 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2024. http://dx.doi.org/10.1109/sceecs61402.2024.10482227.
Pełny tekst źródłaYin, Qi-Jin, Shao-Ping Wang, Yi-Nan Miao i Dou Xin. "Chinese Natural Language Processing Based on Semantic Structure Tree". W 2015 International Conference on Computer Science and Applications (CSA). IEEE, 2015. http://dx.doi.org/10.1109/csa.2015.65.
Pełny tekst źródłaVarga, Bernadette, Alina Dia Trambitas-Miron, Andrei Roth, Anca Marginean, Radu Razvan Slavescu i Adrian Groza. "LELA - A natural language processing system for Romanian tourism". W 2014 Federated Conference on Computer Science and Information Systems. IEEE, 2014. http://dx.doi.org/10.15439/2014f323.
Pełny tekst źródłaRaporty organizacyjne na temat "Natural language processing (Computer science)"
Furey, John, Austin Davis i Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), wrzesień 2021. http://dx.doi.org/10.21079/11681/41960.
Pełny tekst źródłaVolkova, Nataliia P., Nina O. Rizun i Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3241.
Pełny tekst źródłaMurdick, Dewey, Daniel Chou, Ryan Fedasiuk i Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, marzec 2021. http://dx.doi.org/10.51593/20200057.
Pełny tekst źródłaLatorre, Lucia, Valentín Muro, Eduardo Rego, Mariana Gutierrez, Ignacio Cerrato i Jose Daniel Zarate. Tech Report Artificial Intelligence. Inter-American Development Bank, czerwiec 2024. http://dx.doi.org/10.18235/0013015.
Pełny tekst źródła