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Journal articles on the topic '080107 Natural Language Processing'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Niimi, Akio. "Natural Language Processing." Chest 159, no. 6 (June 2021): 2149–50. http://dx.doi.org/10.1016/j.chest.2021.01.045.

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2

HASHIDA, KOICHI. "Natural Language Processing." Journal of the Institute of Electrical Engineers of Japan 121, no. 3 (2001): 195–98. http://dx.doi.org/10.1541/ieejjournal.121.195.

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3

N. O. Sadiku, Matthew, Yu Zhou, and Sarhan M. Musa. "Natural Language Processing." International Journal of Advances in Scientific Research and Engineering 4, no. 5 (2018): 68–70. http://dx.doi.org/10.31695/ijasre.2018.32708.

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4

Covington, Michael A., Fernando C. N. Pereira, and Barbara J. Grosz. "Natural Language Processing." Language 71, no. 3 (September 1995): 652. http://dx.doi.org/10.2307/416262.

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5

Jain, Aditya, Gandhar Kulkarni, and Vraj Shah. "Natural Language Processing." International Journal of Computer Sciences and Engineering 6, no. 1 (January 31, 2018): 161–67. http://dx.doi.org/10.26438/ijcse/v6i1.161167.

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6

Yilmaz, A. Egemen. "Natural Language Processing." International Journal of Systems and Service-Oriented Engineering 4, no. 1 (January 2014): 68–83. http://dx.doi.org/10.4018/ijssoe.2014010105.

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Requirement analysis is the very first and crucial step in the software development processes. On the other hand, as previously addressed by other researchers, it is the Achilles' heel of the whole process since the requirements lie on the problem space, whereas other software artifacts are on the solution space. Stating the requirements in a clear manner eases the following steps in the process as well as reducing the number of potential errors. In this paper, techniques for the improvement of the requirements expressed in the natural language are revisited. These techniques try to check the requirement quality attributes via lexical and syntactic analysis methods sometimes with generic, and sometimes domain and application specific knowledge bases.

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7

Weischedel, R., J. Carbonell, B. Grosz, W. Lehnert, M. Marcus, R. Perrault, and R. Wilensky. "Natural Language Processing." Annual Review of Computer Science 4, no. 1 (June 1990): 435–52. http://dx.doi.org/10.1146/annurev.cs.04.060190.002251.

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8

Wilks, Yorick. "Natural language processing." Communications of the ACM 39, no. 1 (January 1996): 60–62. http://dx.doi.org/10.1145/234173.234180.

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9

Patten, T., and P. Jacobs. "Natural-language processing." IEEE Expert 9, no. 1 (February 1994): 35. http://dx.doi.org/10.1109/64.295134.

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10

Rindflesch, Thomas C. "Natural Language Processing." Annual Review of Applied Linguistics 16 (March 1996): 70–85. http://dx.doi.org/10.1017/s0267190500001446.

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Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understanding of natural language has not been commensurate with progress in other computer applications. Recently, a number of prominent researchers in natural language processing met to assess the state of the discipline and discuss future directions (Bates and Weischedel 1993). The consensus of this meeting was that increased attention to large amounts of lexical and domain knowledge was essential for significant progress, and current research efforts in the field reflect this point of view.

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11

Heidorn, P. Bryan. "Natural language processing." Information Processing & Management 32, no. 1 (January 1996): 122–23. http://dx.doi.org/10.1016/s0306-4573(96)90089-8.

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12

Selfridge, Mallory. "Natural language processing." Artificial Intelligence in Engineering 2, no. 1 (January 1987): 50. http://dx.doi.org/10.1016/0954-1810(87)90076-8.

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13

JOSHI, A. K. "Natural Language Processing." Science 253, no. 5025 (September 13, 1991): 1242–49. http://dx.doi.org/10.1126/science.253.5025.1242.

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14

Chowdhury, Gobinda G. "Natural language processing." Annual Review of Information Science and Technology 37, no. 1 (January 31, 2005): 51–89. http://dx.doi.org/10.1002/aris.1440370103.

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15

Hirschberg, Julia, Bruce W. Ballard, and Donald Hindle. "Natural Language Processing." AT&T Technical Journal 67, no. 1 (January 2, 1988): 41–57. http://dx.doi.org/10.1002/j.1538-7305.1988.tb00232.x.

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16

Grosz, Barbara J. "Natural-language processing." Artificial Intelligence 25, no. 1 (January 1985): 1–4. http://dx.doi.org/10.1016/0004-3702(85)90038-4.

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17

Horacek, Helmut. "Natural language processing." Computer Physics Communications 61, no. 1-2 (November 1990): 76–92. http://dx.doi.org/10.1016/0010-4655(90)90107-c.

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18

Martinez, Angel R. "Natural language processing." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 3 (March 1, 2010): 352–57. http://dx.doi.org/10.1002/wics.76.

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19

Marcus, M. "New trends in natural language processing: statistical natural language processing." Proceedings of the National Academy of Sciences 92, no. 22 (October 24, 1995): 10052–59. http://dx.doi.org/10.1073/pnas.92.22.10052.

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20

Søgaard, Anders. "Explainable Natural Language Processing." Synthesis Lectures on Human Language Technologies 14, no. 3 (September 21, 2021): 1–123. http://dx.doi.org/10.2200/s01118ed1v01y202107hlt051.

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21

Salt, Jessica, Polina Harik, and Michael A. Barone. "Leveraging Natural Language Processing." Academic Medicine 94, no. 3 (March 2019): 314–16. http://dx.doi.org/10.1097/acm.0000000000002558.

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22

Farghaly, Ali, and Khaled Shaalan. "Arabic Natural Language Processing." ACM Transactions on Asian Language Information Processing 8, no. 4 (December 2009): 1–22. http://dx.doi.org/10.1145/1644879.1644881.

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23

Grefenstette, Gregory, and Frédérique Segond. "Multilingual Natural Language Processing." International Journal of Corpus Linguistics 2, no. 1 (January 1, 1997): 153–62. http://dx.doi.org/10.1075/ijcl.2.1.08gre.

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24

Kim, Jin-Dong. "Biomedical Natural Language Processing." Computational Linguistics 43, no. 1 (April 2017): 265–67. http://dx.doi.org/10.1162/coli_r_00281.

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25

Minhwa Chung and D. Moldevan. "Applying parallel processing to natural-language processing." IEEE Expert 9, no. 1 (February 1994): 36–44. http://dx.doi.org/10.1109/64.295133.

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26

Sadiku, Matthew N. O., Yu Zhou, and Sarhan M. Musa. "NATURAL LANGUAGE PROCESSING IN HEALTHCARE." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 5 (June 2, 2018): 39. http://dx.doi.org/10.23956/ijarcsse.v8i5.626.

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Natural language processing (NLP) refers to the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written communication. Healthcare is the biggest user of the NLP tools. It is expected that NLP tools should be able to bridge the gap between the mountain of data generated daily and the limited cognitive capacity of the human mind. This paper provides a brief introduction on the use of NLP in healthcare.

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27

Radev, Dragomir R., and Rada Mihalcea. "Networks and Natural Language Processing." AI Magazine 29, no. 3 (September 5, 2008): 16. http://dx.doi.org/10.1609/aimag.v29i3.2160.

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Over the last few years, a number of areas of natural language processing have begun applying graph-based techniques. These include, among others, text summarization, syntactic parsing, word-sense disambiguation, ontology construction, sentiment and subjectivity analysis, and text clustering. In this paper, we present some of the most successful graph-based representations and algorithms used in language processing and try to explain how and why they work.

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28

Van Vleck, Tielman T., Douglas Farrell, and Lili Chan. "Natural Language Processing in Nephrology." Advances in Chronic Kidney Disease 29, no. 5 (September 2022): 465–71. http://dx.doi.org/10.1053/j.ackd.2022.07.001.

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29

Mochihashi, Daichi. "Natural Language Processing in Robotics." Journal of the Robotics Society of Japan 39, no. 5 (2021): 399–404. http://dx.doi.org/10.7210/jrsj.39.399.

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30

Ali, 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.

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Natural Language Processing (NLP) could be a branch of Artificial Intelligence (AI) that allows machines to know the human language. Its goal is to form systems that can make sense of text and automatically perform tasks like translation, spell check, or topic classification. Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It's spread its applications in various fields like computational linguistics, email spam detection, information extraction, summarization, medical, and question answering etc. The goal of the Natural Language Processing is to style and build software system which will analyze, understand, and generate languages that humans use naturally, so as that you just could also be ready to address your computer as if you were addressing another person. Because it’s one amongst the oldest area of research in machine learning it’s employed in major fields like artificial intelligence speech recognition and text processing. Natural language processing has brought major breakthrough within the sector of COMPUTATION AND AI.

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31

Alharbi, Mohammad, Matthew Roach, Tom Cheesman, and Robert S. Laramee. "VNLP: Visible natural language processing." Information Visualization 20, no. 4 (August 13, 2021): 245–62. http://dx.doi.org/10.1177/14738716211038898.

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In general, Natural Language Processing (NLP) algorithms exhibit black-box behavior. Users input text and output are provided with no explanation of how the results are obtained. In order to increase understanding and trust, users value transparent processing which may explain derived results and enable understanding of the underlying routines. Many approaches take an opaque approach by default when designing NLP tools and do not incorporate a means to steer and manipulate the intermediate NLP steps. We present an interactive, customizable, visual framework that enables users to observe and participate in the NLP pipeline processes, explicitly manipulate the parameters of each step, and explore the result visually based on user preferences. The visible NLP (VNLP) pipeline design is then applied to a text similarity application to demonstrate the utility and advantages of a visible and transparent NLP pipeline in supporting users to understand and justify both the process and results. We also report feedback on our framework from a modern languages expert.

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32

Goto, Isao. "Python for Natural Language Processing." Journal of The Institute of Image Information and Television Engineers 72, no. 11 (2018): 909–12. http://dx.doi.org/10.3169/itej.72.909.

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33

Covington, Michael A., Madeleine Bates, and Ralph M. Weischedel. "Challenges in Natural Language Processing." Language 71, no. 2 (June 1995): 402. http://dx.doi.org/10.2307/416182.

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34

Goyal, Shipra. "NATURAL LANGUAGE PROCESSING ITS TYPES." International Journal of Advanced Research in Computer Science 8, no. 8 (August 30, 2017): 260–63. http://dx.doi.org/10.26483/ijarcs.v8i8.4362.

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35

King, Margaret. "Evaluating natural language processing systems." Communications of the ACM 39, no. 1 (January 1996): 73–79. http://dx.doi.org/10.1145/234173.234208.

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36

Nadkarni, Prakash M., Lucila Ohno-Machado, and Wendy W. Chapman. "Natural language processing: an introduction." Journal of the American Medical Informatics Association 18, no. 5 (September 2011): 544–51. http://dx.doi.org/10.1136/amiajnl-2011-000464.

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37

Barnett, Jim, Kevin Knight, Inderjeet Mani, and Elaine Rich. "Knowledge and natural language processing." Communications of the ACM 33, no. 8 (August 1990): 50–71. http://dx.doi.org/10.1145/79173.79177.

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38

Hirschberg, J., and C. D. Manning. "Advances in natural language processing." Science 349, no. 6245 (July 16, 2015): 261–66. http://dx.doi.org/10.1126/science.aaa8685.

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39

GARFIELD, DAVID A. S., CHARLES RAPP, and MARTHA EVENS. "Natural Language Processing in Psychiatry." Journal of Nervous and Mental Disease 180, no. 4 (April 1992): 227–37. http://dx.doi.org/10.1097/00005053-199204000-00004.

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40

Wood, M. McGee. "Natural language processing in LISP." Science of Computer Programming 14, no. 1 (June 1990): 110. http://dx.doi.org/10.1016/0167-6423(90)90066-m.

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41

Wood, M. McGee. "Natural language processing in Prolog." Science of Computer Programming 14, no. 1 (June 1990): 110. http://dx.doi.org/10.1016/0167-6423(90)90067-n.

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42

Quarteroni, Silvia. "Natural Language Processing for Industry." Informatik-Spektrum 41, no. 2 (March 1, 2018): 105–12. http://dx.doi.org/10.1007/s00287-018-1094-1.

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43

Yandell, Mark D., and William H. Majoros. "Genomics and natural language processing." Nature Reviews Genetics 3, no. 8 (August 2002): 601–10. http://dx.doi.org/10.1038/nrg861.

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44

Morgan, Richard, and Roberto Garigl. "Natural language processing with LOLITA." Endeavour 19, no. 1 (January 1995): 11–15. http://dx.doi.org/10.1016/0160-9327(95)98888-m.

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45

Dale, Robert, Hermann Moisl, and Harold Somers. "Handbook of Natural Language Processing." Computational Linguistics 27, no. 4 (December 2001): 602–3. http://dx.doi.org/10.1162/coli.2000.27.4.602.

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46

Yim, Wen-wai, Meliha Yetisgen, William P. Harris, and Sharon W. Kwan. "Natural Language Processing in Oncology." JAMA Oncology 2, no. 6 (June 1, 2016): 797. http://dx.doi.org/10.1001/jamaoncol.2016.0213.

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47

Lambek, Joachim. "Pregroups and natural language processing." Mathematical Intelligencer 28, no. 2 (March 2006): 41–48. http://dx.doi.org/10.1007/bf02987155.

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48

Muñoz, R., and A. Montoyo. "Advances on natural language processing." Data & Knowledge Engineering 61, no. 3 (June 2007): 403–5. http://dx.doi.org/10.1016/j.datak.2006.06.008.

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49

IKEDA, Takashi, and Tadahiro MATSUMOTO. "Braille, Sign Language and Natural Language Processing." IEICE ESS FUNDAMENTALS REVIEW 4, no. 4 (2011): 282–92. http://dx.doi.org/10.1587/essfr.4.282.

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50

Ward, R. D. "Natural Language Processing and the Language‐Impaired." PLET: Programmed Learning & Educational Technology 23, no. 2 (May 1986): 144–49. http://dx.doi.org/10.1080/0033039860230208.

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