Relevant bibliographies by topics / Natural language processing (Computer science) Artificial intelligence

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Natural language processing (Computer science) Artificial intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Natural language processing (Computer science) Artificial intelligence.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Suzuki, Kenji. "AI: A New Open Access Journal for Artificial Intelligence." AI 1, no. 2 (March 26, 2020): 141–42. http://dx.doi.org/10.3390/ai1020007.

Full text
Abstract:
As a branch of computer science, artificial intelligence (AI) attempts to understand the essence of intelligence, and produce new kinds of intelligent machines that can respond in a similar way to human intelligence, with broad research areas of machine and deep learning, data science, reinforcement learning, data mining, knowledge discovery, knowledge reasoning, speech recognition, natural language processing, language recognition, image recognition, computer vision, planning, robotics, gaming, and so on [...]
APA, Harvard, Vancouver, ISO, and other styles
2

Bajwa, Imran Sarwar. "Virtual Telemedicine Using Natural Language Processing." International Journal of Information Technology and Web Engineering 5, no. 1 (January 2010): 43–55. http://dx.doi.org/10.4018/jitwe.2010010103.

Full text
Abstract:
Conventional telemedicine has limitations due to the existing time constraints in the response of a medical specialist. One major reason is that telemedicine based medical facilities are subject to the availability of a medical expert and telecommunication facilities. On the other hand, communication using telecommunication is only possible on fixed and appointed time. Typically, the field of telemedicine exists in both medical and telecommunication areas to provide medical facilities over a long distance, especially in remote areas. In this article, the authors present a solution for ‘virtual telemedicine’ to cope with the problem of the long time constraints in conventional telemedicine. Virtual Telemedicine is the use of telemedicine with the methods of artificial intelligence.
APA, Harvard, Vancouver, ISO, and other styles
3

Bailin, Alan. "Artificial Intelligence and Computer-Assisted Language Instruction: A Perspective." CALICO Journal 5, no. 3 (January 14, 2013): 25–45. http://dx.doi.org/10.1558/cj.v5i3.25-45.

Full text
Abstract:
The article attempts to outline the major components of CALI-AI (computer-assisted language instruction incorporating artificial intelligence techniques). The article begins by discussing briefly the central assumption on which CALI-AI work is based, that is, that human cognitive abilities can be reproduced by mechanical means. It then proceeds to examine the following components of CALI-AI: (1) natural language processing, problem solving, (3) language learning, and (4) modeling teacher behavior. The article concludes with a discussion of the ways in which language teachers can participate in the development of the field.
APA, Harvard, Vancouver, ISO, and other styles
4

Montejo-Ráez, Arturo, and Salud María Jiménez-Zafra. "Current Approaches and Applications in Natural Language Processing." Applied Sciences 12, no. 10 (May 11, 2022): 4859. http://dx.doi.org/10.3390/app12104859.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sokolov, I. A. "Theory and practice in artificial intelligence." Вестник Российской академии наук 89, no. 4 (April 24, 2019): 365–70. http://dx.doi.org/10.31857/s0869-5873894365-370.

Full text
Abstract:
Artificial Intelligence is an interdisciplinary field, and formed about 60 years ago as an interaction between mathematical methods, computer science, psychology, and linguistics. Artificial Intelligence is an experimental science and today features a number of internally designed theoretical methods: knowledge representation, modeling of reasoning and behavior, textual analysis, and data mining. Within the framework of Artificial Intelligence, novel scientific domains have arisen: non-monotonic logic, description logic, heuristic programming, expert systems, and knowledge-based software engineering. Increasing interest in Artificial Intelligence in recent years is related to the development of promising new technologies based on specific methods like knowledge discovery (or machine learning), natural language processing, autonomous unmanned intelligent systems, and hybrid human-machine intelligence.
APA, Harvard, Vancouver, ISO, and other styles
6

Long, Teng, Zhangbing Zhou, Gerhard Hancke, Yang Bai, and Qi Gao. "A Review of Artificial Intelligence Technologies in Mineral Identification: Classification and Visualization." Journal of Sensor and Actuator Networks 11, no. 3 (August 29, 2022): 50. http://dx.doi.org/10.3390/jsan11030050.

Full text
Abstract:
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine capable of responding in a manner similar to human intelligence. Research in this area includes robotics, language recognition, image identification, natural language processing, and expert systems. In recent years, the availability of large datasets, the development of effective algorithms, and access to powerful computers have led to unprecedented success in artificial intelligence. This powerful tool has been used in numerous scientific and engineering fields including mineral identification. This paper summarizes the methods and techniques of artificial intelligence applied to intelligent mineral identification based on research, classifying the methods and techniques as artificial neural networks, machine learning, and deep learning. On this basis, visualization analysis is conducted for mineral identification of artificial intelligence from field development paths, research hot spots, and keywords detection, respectively. In the end, based on trend analysis and keyword analysis, we propose possible future research directions for intelligent mineral identification.
APA, Harvard, Vancouver, ISO, and other styles
7

Yang, Junpu. "Research on Security Model Design Based on Computational Network and Natural Language Processing." Mobile Information Systems 2022 (August 31, 2022): 1–14. http://dx.doi.org/10.1155/2022/7191312.

Full text
Abstract:
Human logical thinking exists in the form of language, and most of the knowledge is also recorded and transmitted in the form of language. It is also an important and even core part of artificial intelligence. Communicating with computers in natural language is a long-standing pursuit of people. People can use the computer in the language they are most accustomed to and can also use it to learn more about human language abilities and intelligent mechanisms. The realization of natural language communication between humans and computers means that computers can not only understand the meaning of natural language texts but also express the intentions and thoughts given in natural language texts. This paper designs and studies a computational model for natural language processing (NLP) models for natural language processing. This paper aims to study the design of computing network security model based on natural language processing. This paper proposes three calculation models, which are based on the long-term and short-term memory neural network model (LSTM), FastText model, and text processing model (GCN) based on graph convolution neural network. Several natural language processing models are evaluated and analyzed using four indexes: accuracy, recall, exactness, and F1 vaule. Results show that the performance level of the GCN model is the best. The accuracy of the NLP recognition of this model reaches 86.66%, which is 2.93% and 1.55% higher than the accuracy of the LSTM model and the FastText model, respectively.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Esposito, Massimo, Giovanni Luca Masala, Aniello Minutolo, and Marco Pota. "Special Issue on “Natural Language Processing: Emerging Neural Approaches and Applications”." Applied Sciences 11, no. 15 (July 22, 2021): 6717. http://dx.doi.org/10.3390/app11156717.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Islam, Saiful. "Artificial Intelligence in Healthcare." International Journal of Engineering Materials and Manufacture 6, no. 4 (October 1, 2021): 319–23. http://dx.doi.org/10.26776/ijemm.06.04.2021.08.

Full text
Abstract:
Artificial intelligence (AI) is the ability of a computer program or machine to think or learn that possess human-like intelligence. These computing devices use this intelligence to provide services such as speech recognition, natural language processing and identifying disease in healthcare. To work efficiently, AI requires adequate data that is used to train systems. The efficiency of any AI system depends on the availability of this data. This article is mainly focused on recent advents in the technology of Artificial Intelligence. The importance of AI in healthcare is identified and described in this report. The applications of Artificial Intelligence in healthcare such as clinical care, medical research, drug research and public healthcare are briefly discussed here. The purpose of this article is to demonstrate that artificial intelligence is being used in all domains of life and particularly in the field of healthcare. This report presents the role of Artificial Intelligence in healthcare.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Li, Wenhui. "Sentiment analysis: Quantitative evaluation of subjective opinions using natural language processing." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/28000.

Full text
Abstract:
Sentiment Analysis consists of recognizing sentiment orientation towards specific subjects within natural language texts. Most research in this area focuses on classifying documents as positive or negative. The purpose of this thesis is to quantitatively evaluate subjective opinions of customer reviews using a five star rating system, which is widely used on on-line review web sites, and to try to make the predicted score as accurate as possible. Firstly, this thesis presents two methods for rating reviews: classifying reviews by supervised learning methods as multi-class classification does, or rating reviews by using association scores of sentiment terms with a set of seed words extracted from the corpus, i.e. the unsupervised learning method. We extend the feature selection approach used in Turney's PMI-IR estimation by introducing semantic relatedness measures based up on the content of WordNet. This thesis reports on experiments using the two methods mentioned above for rating reviews using the combined feature set enriched with WordNet-selected sentiment terms. The results of these experiments suggest ways in which incorporating WordNet relatedness measures into feature selection may yield improvement over classification and unsupervised learning methods which do not use it. Furthermore, via ordinal meta-classifiers, we utilize the ordering information contained in the scores of bank reviews to improve the performance, we explore the effectiveness of re-sampling for reducing the problem of skewed data, and we check whether discretization benefits the ordinal meta-learning process. Finally, we combine the unsupervised and supervised meta-learning methods to optimize performance on our sentiment prediction task.
APA, Harvard, Vancouver, ISO, and other styles
2

Jarmasz, Mario. ""Roget's Thesaurus" as a lexical resource for natural language processing." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26493.

Full text
Abstract:
This dissertation presents an implementation of an electronic lexical knowledge base that uses the 1987 Penguin edition of Roget's Thesaurus as the source for its lexical material---the first implementation of a computerized Roget's to use an entire current edition. It explains the steps necessary for taking a machine-readable file and transforming it into a tractable system. Roget's organization is studied in detail and contrasted with WordNet's. We show two applications of the computerized Thesaurus: computing semantic similarity between words and phrases, and building lexical chains in a text. The experiments are performed using well-known benchmarks and the results are compared to those of other systems that use Roget's, WordNet and statistical techniques. Roget's has turned out to be an excellent resource for measuring semantic similarity; lexical chains are easily built but more difficult to evaluate. We also explain ways in which Roget's Thesaurus and WordNet can be combined.
APA, Harvard, Vancouver, ISO, and other styles
3

Keller, Thomas Anderson. "Comparison and Fine-Grained Analysis of Sequence Encoders for Natural Language Processing." Thesis, University of California, San Diego, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10599339.

Full text
Abstract:

Most machine learning algorithms require a fixed length input to be able to perform commonly desired tasks such as classification, clustering, and regression. For natural language processing, the inherently unbounded and recursive nature of the input poses a unique challenge when deriving such fixed length representations. Although today there is a general consensus on how to generate fixed length representations of individual words which preserve their meaning, the same cannot be said for sequences of words in sentences, paragraphs, or documents. In this work, we study the encoders commonly used to generate fixed length representations of natural language sequences, and analyze their effectiveness across a variety of high and low level tasks including sentence classification and question answering. Additionally, we propose novel improvements to the existing Skip-Thought and End-to-End Memory Network architectures and study their performance on both the original and auxiliary tasks. Ultimately, we show that the setting in which the encoders are trained, and the corpus used for training, have a greater influence of the final learned representation than the underlying sequence encoders themselves.

APA, Harvard, Vancouver, ISO, and other styles
4

Cotra, Aditya Kousik. "Trend Analysis on Artificial Intelligence Patents." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617104823936441.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Oldham, Joseph Dowell. "Generating documents by means of computational registers." Lexington, Ky. : [University of Kentucky Libraries], 2000. http://lib.uky.edu/ETD/ukycosc2000d00006/oldham.pdf.

Full text
Abstract:
Thesis (Ph. D.)--University of Kentucky, 2000.
Title from document title page. Document formatted into pages; contains ix, 169 p. : ill. Includes abstract. Includes bibliographical references (p. 160-167).
APA, Harvard, Vancouver, ISO, and other styles
6

Augustsson, Christopher. "Multipurpose Case-Based Reasoning System, Using Natural Language Processing." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104890.

Full text
Abstract:
Working as a field technician of any sort can many times be a challenging task. Often you find yourself alone, with a machine you have limited knowledge about, and the only support you have are the user manuals. As a result, it is not uncommon for companies to aid the technicians with a knowledge base that often revolves around some share point. But, unfortunately, the share points quickly get cluttered with too much information that leaves the user overwhelmed. Case-based reasoning (CBR), a form of problem-solving technology, uses previous cases to help users solve new problems they encounter, which could benefit the field technician. But for a CBR system to work with a wide variety of machines, the system must have a dynamic nature and handle multiple data types. By developing a prototype focusing on case retrieval, based on .Net core and MySql, this report sets the foundation for a highly dynamic CBR system that uses natural language processing to map case attributes during case retrieval. In addition, using datasets from UCI and Kaggle, the system's accuracy is validated, and by using a dataset created explicitly for this report, the system manifest to be robust.
APA, Harvard, Vancouver, ISO, and other styles
7

Meyer, Christopher Henry. "On improving natural language processing through phrase-based and one-to-one syntactic algorithms." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1096.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Crocker, Matthew Walter. "A principle-based system for natural language analysis and translation." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27863.

Full text
Abstract:
Traditional views of grammatical theory hold that languages are characterised by sets of constructions. This approach entails the enumeration of all possible constructions for each language being described. Current theories of transformational generative grammar have established an alternative position. Specifically, Chomsky's Government-Binding theory proposes a system of principles which are common to human language. Such a theory is referred to as a "Universal Grammar"(UG). Associated with the principles of grammar are parameters of variation which account for the diversity of human languages. The grammar for a particular language is known as a "Core Grammar", and is characterised by an appropriately parametrised instance of UG. Despite these advances in linguistic theory, construction-based approaches have remained the status quo within the field of natural language processing. This thesis investigates the possibility of developing a principle-based system which reflects the modular nature of the linguistic theory. That is, rather than stipulating the possible constructions of a language, a system is developed which uses the principles of grammar and language specific parameters to parse language. Specifically, a system-is presented which performs syntactic analysis and translation for a subset of English and German. The cross-linguistic nature of the theory is reflected by the system which can be considered a procedural model of UG.
Science, Faculty of
Computer Science, Department of
Graduate
APA, Harvard, Vancouver, ISO, and other styles
9

Goh, Ong Sing. "A framework and evaluation of conversation agents." Thesis, Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. https://researchrepository.murdoch.edu.au/id/eprint/752/.

Full text
Abstract:
This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multiple channels. The CA developed in this project is termed “Artificial Intelligence Natural-language Identity” (AINI) and AINI is used to illustrate the implementation and testing carried out in this project. Up to now, most CAs have been developed with a short term objective to serve as tools to convince users that they are talking with real humans as in the case of the Turing Test. The traditional designs have mainly relied on ad-hoc approach and hand-crafted domain knowledge. Such approaches make it difficult for a fully integrated system to be developed and modified for other domain applications and tasks. The proposed framework in this thesis addresses such limitations. Overcoming the weaknesses of previous systems have been the key challenges in this study. The research in this study has provided a better understanding of the system requirements and the development of a systematic approach for the construction of intelligent CAs based on agent architecture using a modular N-tiered approach. This study demonstrates an effective implementation and exploration of the new paradigm of Computer Mediated Conversation (CMC) through CAs. The most significant aspect of the proposed framework is its ability to re-use and encapsulate expertise such as domain knowledge, natural language query and human-computer interface through plug-in components. As a result, the developer does not need to change the framework implementation for different applications. This proposed system provides interoperability among heterogeneous systems and it has the flexibility to be adapted for other languages, interface designs and domain applications. A modular design of knowledge representation facilitates the creation of the CA knowledge bases. This enables easier integration of open-domain and domain-specific knowledge with the ability to provide answers for broader queries. In order to build the knowledge base for the CAs, this study has also proposed a mechanism to gather information from commonsense collaborative knowledge and online web documents. The proposed Automated Knowledge Extraction Agent (AKEA) has been used for the extraction of unstructured knowledge from the Web. On the other hand, it is also realised that it is important to establish the trustworthiness of the sources of information. This thesis introduces a Web Knowledge Trust Model (WKTM) to establish the trustworthiness of the sources. In order to assess the proposed framework, relevant tools and application modules have been developed and an evaluation of their effectiveness has been carried out to validate the performance and accuracy of the system. Both laboratory and public experiments with online users in real-time have been carried out. The results have shown that the proposed system is effective. In addition, it has been demonstrated that the CA could be implemented on the Web, mobile services and Instant Messaging (IM). In the real-time human-machine conversation experiment, it was shown that AINI is able to carry out conversations with human users by providing spontaneous interaction in an unconstrained setting. The study observed that AINI and humans share common properties in linguistic features and paralinguistic cues. These human-computer interactions have been analysed and contributed to the understanding of how the users interact with CAs. Such knowledge is also useful for the development of conversation systems utilising the commonalities found in these interactions. While AINI is found having difficulties in responding to some forms of paralinguistic cues, this could lead to research directions for further work to improve the CA performance in the future.
APA, Harvard, Vancouver, ISO, and other styles
10

Goh, Ong Sing. "A framework and evaluation of conversation agents." Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. http://researchrepository.murdoch.edu.au/752/.

Full text
Abstract:
This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multiple channels. The CA developed in this project is termed “Artificial Intelligence Natural-language Identity” (AINI) and AINI is used to illustrate the implementation and testing carried out in this project. Up to now, most CAs have been developed with a short term objective to serve as tools to convince users that they are talking with real humans as in the case of the Turing Test. The traditional designs have mainly relied on ad-hoc approach and hand-crafted domain knowledge. Such approaches make it difficult for a fully integrated system to be developed and modified for other domain applications and tasks. The proposed framework in this thesis addresses such limitations. Overcoming the weaknesses of previous systems have been the key challenges in this study. The research in this study has provided a better understanding of the system requirements and the development of a systematic approach for the construction of intelligent CAs based on agent architecture using a modular N-tiered approach. This study demonstrates an effective implementation and exploration of the new paradigm of Computer Mediated Conversation (CMC) through CAs. The most significant aspect of the proposed framework is its ability to re-use and encapsulate expertise such as domain knowledge, natural language query and human-computer interface through plug-in components. As a result, the developer does not need to change the framework implementation for different applications. This proposed system provides interoperability among heterogeneous systems and it has the flexibility to be adapted for other languages, interface designs and domain applications. A modular design of knowledge representation facilitates the creation of the CA knowledge bases. This enables easier integration of open-domain and domain-specific knowledge with the ability to provide answers for broader queries. In order to build the knowledge base for the CAs, this study has also proposed a mechanism to gather information from commonsense collaborative knowledge and online web documents. The proposed Automated Knowledge Extraction Agent (AKEA) has been used for the extraction of unstructured knowledge from the Web. On the other hand, it is also realised that it is important to establish the trustworthiness of the sources of information. This thesis introduces a Web Knowledge Trust Model (WKTM) to establish the trustworthiness of the sources. In order to assess the proposed framework, relevant tools and application modules have been developed and an evaluation of their effectiveness has been carried out to validate the performance and accuracy of the system. Both laboratory and public experiments with online users in real-time have been carried out. The results have shown that the proposed system is effective. In addition, it has been demonstrated that the CA could be implemented on the Web, mobile services and Instant Messaging (IM). In the real-time human-machine conversation experiment, it was shown that AINI is able to carry out conversations with human users by providing spontaneous interaction in an unconstrained setting. The study observed that AINI and humans share common properties in linguistic features and paralinguistic cues. These human-computer interactions have been analysed and contributed to the understanding of how the users interact with CAs. Such knowledge is also useful for the development of conversation systems utilising the commonalities found in these interactions. While AINI is found having difficulties in responding to some forms of paralinguistic cues, this could lead to research directions for further work to improve the CA performance in the future.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Shwartz, Steven P. Applied natural language processing. Princeton, N.J: Petrocelli Books, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kulas, Jack. Philosophy, Language, and Artificial Intelligence: Resources for Processing Natural Language. Dordrecht: Springer Netherlands, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

J, Grosz Barbara, Sparck Jones Karen 1935-, and Webber Bonnie Lynn, eds. Readings in natural language processing. Los Altos, Calif: M. Kaufmann Publishers, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Golumbic, Martin Charles. Advances in Artificial Intelligence: Natural Language and Knowledge-based Systems. New York, NY: Springer New York, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

L, Paris Cecile, Swartout William R, and Mann William C, eds. Natural language generation in artificial intelligence and computational linguistics. Boston: Kluwer Academic, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Paris, Cécile L. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Boston, MA: Springer US, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Charles, Golumbic Martin, ed. Advances in artificial intelligence: Natural language and knowledge-based systems. New York: Springer-Verlag, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sharkey, Noel. Connectionist Natural Language Processing: Readings from Connection Science. Dordrecht: Springer Netherlands, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Natural language processing: A knowledge-engineering approach. Totowa, N.J: Rowman & Littlefield, 1986.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Paul, Mc Kevitt, ed. Integration of natural language and vision processing. Dordrecht: Kluwer Academic Publishers, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Yunye, Xia, Zhu Meizheng, and Li Xin. "The Study of Natural Language Processing Based on Artificial Intelligence." In Recent Advances in Computer Science and Information Engineering, 25–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25789-6_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Powers, David M. W., and Christopher C. R. Turk. "Computer Science and Artificial Intelligence." In Machine Learning of Natural Language, 253–77. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1697-4_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jaiswal, Tarun, Manju Pandey, and Priyanka Tripathi. "State-of-the-Art Natural Language Processing Techniques." In Artificial Intelligence, Machine Learning, and Data Science Technologies, 219–47. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003153405-12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Gao, Ang, and Derek Bridge. "Using Shallow Natural Language Processing in a Just-In-Time Information Retrieval Assistant for Bloggers." In Artificial Intelligence and Cognitive Science, 103–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17080-5_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kamath, Uday, and John Liu. "Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision." In Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 261–302. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83356-5_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Marquez, Bogart Yail, Arnulfo Alanis, Jose Sergio Magdaleno-Palencia, and Angeles Quezada. "Artificial Neural Networks Applied to Natural Language Processing in Academic Texts." In Communications in Computer and Information Science, 535–45. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20319-0_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Artemova, Ekaterina. "Deep Learning for the Russian Language." In The Palgrave Handbook of Digital Russia Studies, 465–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42855-6_26.

Full text
Abstract:
AbstractDeep learning is a term used to describe artificial intelligence (AI) technologies. AI deals with how computers can be used to solve complex problems in the same way that humans do. Such technologies as computer vision (CV) and natural language processing (NLP) are distinguished as the largest AI areas. To imitate human vision and the ability to express meaning and feelings through language, deep learning exploits artificial neural networks that are trained on real life evidence.While most vision-related tasks are solved using common methods nearly irrespective of target domains, NLP methods strongly depend on the properties of a given language. Linguistic diversity complicates deep learning for NLP. This chapter focuses on deep learning applications to processing the Russian language.
APA, Harvard, Vancouver, ISO, and other styles
8

Kumar, Santosh, and Roopali Sharma. "Applications of AI in Financial System." In Natural Language Processing, 23–30. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch002.

Full text
Abstract:
Role of computers are widely accepted and well known in the domain of Finance. Artificial Intelligence(AI) methods are extensively used in field of computer science for providing solution of unpredictable event in a frequent changing environment with utilization of neural network. Professionals are using AI framework into every field for reducing human interference to get better result from few decades. The main objective of the chapter is to point out the techniques of AI utilized in field of finance in broader perspective. The purpose of this chapter is to analyze the background of AI in finance and its role in Finance Market mainly as investment decision analysis tool.
APA, Harvard, Vancouver, ISO, and other styles
9

Glad Shiya V., Belsini, and Sharmila K. "Language Processing and Python." In Advances in Computational Intelligence and Robotics, 93–119. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7728-8.ch006.

Full text
Abstract:
Natural language processing is the communication between the humans and the computers. It is the field of computer science which incorporates artificial intelligence and linguistics where machine learning algorithms are used to analyze and process the enormous variety of data. This chapter delivers the fundamental concepts of language processing in Python such as text and word operations. It also gives the details about the preference of Python language for language processing and its advantages. It specifies the basic concept of variables, list, operators, looping statements in Python and explains how it can be implemented in language processing. It also specifies how a structured program can be written using Python, categorizing and tagging of words, how an information can be extracted from a text, syntactic and semantic analysis, and NLP applications. It also concentrates some of the research applications where NLP is applied and the challenges of NLP processing in the real-time area of applications.
APA, Harvard, Vancouver, ISO, and other styles
10

Priya B, Nandhini J.M, and Gnanasekaran T. "An Analysis of the Applications of Natural Language Processing in Various Sectors." In Advances in Parallel Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210109.

Full text
Abstract:
Natural Language processing (NLP) dealing with Artificial Intelligence concept is a subfield of Computer Science, enabling computers to understand and process human language. Natural Language Processing being a part of artificial intelligence provides understanding of human language by computers for the purpose of extracting information or insights and create meaningful response. It involves creating algorithms that transform text in to words labeling With the emerging advancements in Machine learning and Deep Learning, NLP can contributed a lot towards health sector, education, agriculture and so on. This paper summarizes the various aspects of NLP along with case studies associated with Health Sector for Voice Automated System, prediction of Diabetes Millets, Crop Detection technique in Agriculture Sector.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Ayanzadeh, Ramin. "Quantum Artificial Intelligence for Natural Language Processing Applications." In 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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Klima, Gyula. "A Natural Logic for Artificial Intelligence, and its Risks and Benefits." In 11th International Conference on Computer Science and Information Technology (CCSIT 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110710.

Full text
Abstract:
This paper is a multidisciplinary project proposal, submitted in the hopes that it may garner enough interest to launch it with members of the AI research community along with linguists and philosophers of mind and language interested in constructing a semantics for a natural logic for AI. The paper outlines some of the major hurdles in the way of “semantics-driven” natural language processing based on standard predicate logic and sketches out the steps to be taken toward a “natural logic”, a semantic system explicitly defined on a well-regimented (but indefinitely expandable) fragment of a natural language that can, therefore, be “intelligently” processed by computers, using the semantic representations of the phrases of the fragment.
APA, Harvard, Vancouver, ISO, and other styles
3

Prayitno, Philip Indra, Reinhart Perbowo Pujo Leksono, Fernando Chai, Richard Aldy, and Widodo Budiharto. "Health Chatbot Using Natural Language Processing for Disease Prediction and Treatment." In 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI). IEEE, 2021. http://dx.doi.org/10.1109/iccsai53272.2021.9609784.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ji, Nathan, and Yu Sun. "Media Legitimacy Detection: A Data Science Approach to Locate Falsehoods and Bias using Supervised Machine Learning and Natural-Language Processing." In 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121003.

Full text
Abstract:
Media sources, primarily of the political variation, have a hastening grip on narratives that can easily be constructed using biased views and false information. Unfortunately, many people in modern society are unable to differentiate these false narratives from real events. Utilizing natural language processing, sentiment analysis, and various other computer science techniques, models can be generated to help users immediately detect bias and falsehoods in political media. The models created in this experiment were able to detect up to 70% accuracy on political bias and 73% accuracy on falsehoods by utilizing datasets from a variety of collections of both political media and other mediums of information. Overall, the models were successful as the standard for most natural language processing models achieved only about 75% accuracy.
APA, Harvard, Vancouver, ISO, and other styles
5

Ruliputra, Ricky Nauvaldy, Yudho Giri Sucahyo, Arfive Gandhi, and Yova Ruldeviyani. "Why do Enterprises Adopt Natural Language Processing Services? Startups’ Landscape and Opportunities in Artificial Intelligence." In 2019 International Conference on Advanced Computer Science and information Systems (ICACSIS). IEEE, 2019. http://dx.doi.org/10.1109/icacsis47736.2019.8979806.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Kainan. "Study of text classification Natural Language Processing algorithms for four European areas’ English dialects." In 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). IEEE, 2021. http://dx.doi.org/10.1109/cisai54367.2021.00073.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zheng, Shuchen, Longtao Wang, Qianhui Jin, and Haoran Zhang. "Prediction of Development Prospect of Electric Vehicles in China by Using Natural Language Processing." In 2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE). IEEE, 2021. http://dx.doi.org/10.1109/csaiee54046.2021.9543175.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kim, Jaeyoon, Una-May O'Reilly, and Junhee Seok. "Computer Code Representation through Natural Language Processing for fMRI Data Analysis." In 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2022. http://dx.doi.org/10.1109/icaiic54071.2022.9722644.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhan, Huayi, Baivab Sinha, and Wei Jiang. "Natural Language Question/Answering with User Interaction over a Knowledge Base." In AICS 2019: 2019 International Conference on Artificial Intelligence and Computer Science. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3349341.3349425.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chiyangwa, Tawanda Blessing, Judy van Biljon, and Karen Renaud. "Natural Language Processing Techniques to Reveal Human-Computer Interaction for Development Research Topics." In icARTi '21: International Conference on Artificial Intelligence and its Applications. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3487923.3487932.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Natural language processing (Computer science) Artificial intelligence"

1

Murdick, Dewey, Daniel Chou, Ryan Fedasiuk, and Emily Weinstein. The Public AI Research Portfolio of China’s Security Forces. Center for Security and Emerging Technology, March 2021. http://dx.doi.org/10.51593/20200057.

Full text
Abstract:
New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with components of the Ministry of Public Security, People's Armed Police Force, and People’s Liberation Army. The authors review potential uses of computer vision, robotics, natural language processing and general AI research.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Natural language processing (Computer science) Artificial intelligence' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography