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Gotowe bibliografie tematyczne / Natural Language Processes (NLP) / Książki

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Książki na temat „Natural Language Processes (NLP)”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 7 lipca 2025

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1

Christodoulakis, Dimitris N., ed. Natural Language Processing — NLP 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45154-4.

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2

Herbert, Robert K. Language universals, markedness theory, and natural phonetic processes. Mouton de Gruyter, 1986.

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3

International Conference on Natural Language Processing (2nd 2000 Patrai, Greece). Natural language processing - NLP 2000: Second International Conference, Patras, Greece, June 2-4, 2000 : proceedings. Springer, 2000.

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4

Oppentocht, Anna Linnea. Lexical semantic classification of Dutch verbs: Towards constructing NLP and human-friendly definitions. LEd, 1999.

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Gurevych, Iryna. The People’s Web Meets NLP: Collaboratively Constructed Language Resources. Springer Berlin Heidelberg, 2013.

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6

Chengqing, Zong, Chinese Association for Artificial Intelligence., IEEE Signal Processing Society, IEEE Systems, Man, and Cybernetics Society, and Institute of Electrical and Electronics Engineers. Beijing Section., eds. 2003 International conference on natural language processing and knowledge engineering: Proceedings : NLP-KE 2003 : Beijing, China. IEEE, 2003.

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International Conference on Natural Language Processing and Knowledge Engineering (2007 Beijing, China). Proceedings of International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'07) : Aug. 30-Sep. 1, Beijing China. IEEE, 2007.

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8

Loftsson, Hrafn, Eiríkur Rögnvaldsson, and Sigrún Helgadóttir, eds. Advances in natural language processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010 : proceedings. Springer, 2010.

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9

Kyoko, Kanzaki, and SpringerLink (Online service), eds. Advances in Natural Language Processing: 8th International Conference on NLP, JapTAL 2012, Kanazawa, Japan, October 22-24, 2012. Proceedings. Springer Berlin Heidelberg, 2012.

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10

Boschetti Adamczyk, Willian, Verónica Escudero, Hannah Liepmann, Simon Boehmer, and Isaure Delaporte. Developing a new method to uncover skills trends in emerging economies using online data and NLP techniques. ILO, 2025. https://doi.org/10.54394/hqqx3200.

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This research brief outlines a novel methodology using online big data and natural language processing (NLP) to analyze transferable skills trends across diverse sectors and countries, offering insights into skills demand, supply, mismatches, and their relationship to job quality and transitions.

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Boschetti Adamczyk, Willian, Isaure Delaporte, and Verónica Escudero. Measuring quality of employment in emerging economies. ILO, 2025. https://doi.org/10.54394/ynll0477.

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12

Escudero, Verónica, and Franziska Riepl. Revealing new skills trends in emerging economies. ILO, 2024. http://dx.doi.org/10.54394/nbky2638.

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This brief presents an innovative approach that leverages big data of online job boards and natural language processing (NLP) techniques to extract information on transferable skills from online vacancy and applicants’ data, offering insights into skills dynamics in low- and middle-income economies.

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13

Cavicchio, Federica, and Emanuela Magno Caldognetto, eds. Aspetti emotivi e relazionali nell'e-learning. Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-833-8.

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This book investigates the role of emotions and multimodal communication in face-to-face teaching and in e-learning, and assesses the incidence of these not merely verbal components on the cognitive processes of the student. It also presents certain types of man-machine interface that utilise natural language in written, vocal and multimodal form; the latter implement a new metaphor of interaction with the computer that is more human-oriented. This is, therefore, a new and interdisciplinary theme of research that highlights the technical and theoretical complexity that e-learning specialists and scholars of multimodal communication and emotions address in order to devise new systems of human-computer communication that are more natural and more motivating for learning.

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14

Tyernovaya, Lyudmila. Ecosemantics of the geopolitical space. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/24216.

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2017 was declared the year of ecology in the Russian Federation. Its purpose is to attract public attention to the issues of environmental development of the country, conservation of biological diversity and environmental safety. This can be achieved by restoring not only the connection of man with nature, but also the knowledge of its language — codes of trees, flowers, and animals, which form one of the foundations of the world picture, lost over a long period of industrial development. The monograph reveals the content of these codes, which allows us to better understand the processes that occur in the natural environment and affect the strategies and behavior of international actors. The book is addressed to specialists in the field of geopolitics, international relations, cultural studies, as well as readers who are interested in environmental problems of modern world development.

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15

Odincov, Boris. Models and intelligent systems. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1060845.

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The monograph consists of three chapters, the first of which outlines the theoretical foundations of intelligent information systems. Special attention is paid to the disclosure of the term "model" as the intended meaning depends on the understanding of the material. Introduces and examines the new concepts such as the associative and intuitive knowledge while in the creation of intellectual information systems are not used.  The second Chapter contains the analysis of problems of development of artificial intelligence (AI), developed in two directions: classical and statistical. Discusses difficulties in the development of the classical approach, associated with identifying the meaning of words, phrases, text, and formulating thoughts. The analysis of problems arising in the play of imagination and insight, machine understanding of natural language texts, play, verbalization and reflection.  The third Chapter contains examples of the development of intelligent information systems and technologies in practice of management of economic objects. Theoretical bases of construction of information robots designed to support the task hierarchy of the knowledge base and generating control regulations. The technology of their creation and application in the management of the business efficiency of enterprise business processes and its investment activities.  Focused on researchers and developers, AI and intelligent information systems, as well as graduate students and faculty in related academic disciplines.

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16

Nerbonne, John. Natural Language Processing in Computer-Assisted Language Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0037.

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This article examines the application of natural language processing to computer-assisted language learning (CALL) including the history of work in this field over the last thirtyfive years and focuses on current developments and opportunities. It always refers to programs designed to help people learn foreign languages. CALL is a large field — much larger than computational linguistics. This article outlines the areas of CALL to which computational linguistics (CL) can be applied. CL programs process natural languages such as English and Spanish, and the techniques are therefore often referred to as natural language processing (NLP). NLP is enlisted in several ways in CALL to provide lemmatized access to corpora for advanced learners seeking subtleties unavailable in grammars and dictionaries. It also provides morphological analysis and subsequent dictionary access for words unknown to readers and to parse user input and diagnose morphological and syntactic errors.

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17

Natural Language Processing: NLP and Its History. Independently Published, 2020.

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18

Kotarra, Simone. Natural Language Processing (NLP) in wissenschaftlichen Instituten. GRIN Verlag GmbH, 2007.

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19

Hristea, Florentina, ed. Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT). MDPI, 2024. http://dx.doi.org/10.3390/books978-3-7258-0086-5.

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20

Kedwan, Ftoon. Nlp Application: Natural Language Questions and SQL Using Computational Linguistics. Taylor & Francis Group, 2023.

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21

Language Universals, Markedness Theory, and Natural Phonetic Processes. De Gruyter, Inc., 2011.

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22

Hristea, Florentina, and Cornelia Caragea, eds. Natural Language Processing (NLP) and Machine Learning (ML)—Theory and Applications. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-5580-5.

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23

Matsumoto, Yuji. Lexical Knowledge Acquisition. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0021.

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This article deals with the acquisition of lexical knowledge, instrumental in complementing the ambiguous process of NLP (natural language processing). Imprecise in nature, lexical representations are mostly simple and superficial. The thesaurus would be an apt example. Two primary tools for acquiring lexical knowledge are ‘corpora’ and ‘machine-readable dictionary’ (MRD). The former are mostly domain specific, monolingual, while the definitions in MRD are generally described by a ‘genus term’ followed by a set of differentiae. Auxiliary technical nuances of the acquisition process, find mention as well, such as ‘lexical collocation’ and ‘association’, referring to the deliberate co-occurrence of words that form a new meaning altogether and loses it whenever a synonym replaces either of the words. The first seminal work on collocation extraction from large text corpora, was compiled around the early 1990s, using inter-word mutual information to locate collocation. Abundant corpus data would be obtainable from the Linguistic Data Consortium (LDC).

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24

Peters, S., and Esa Saarinen. Processes, Beliefs, and Questions: Essays on Formal Semantics of Natural Language and Natural Language Processing. Springer Netherlands, 2010.

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25

Peters, S., and Esa Saarinen. Processes, Beliefs, and Questions: Essays on Formal Semantics of Natural Language and Natural Language Processing. Springer London, Limited, 2012.

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26

Thomas, Alex. Natural Language Processing with Spark NLP: Learning to Understand Text at Scale. O'Reilly Media, Incorporated, 2020.

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27

Burns, Samuel. Natural Language Processing: A Quick Introduction to NLP with Python and NLTK. Independently Published, 2019.

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Burns, Samuel. Natural Language Processing: A Quick Introduction to NLP with Python and NLTK. Independently Published, 2019.

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29

Kulkarni, Akshay, Adarsha Shivananda, and Anoosh Kulkarni. Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques. Apress L. P., 2021.

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30

Christodoulakis, Dimitris N. Natural Language Processing - NLP 2000: Second International Conference Patras, Greece, June 2-4, 2000 Proceedings. Springer London, Limited, 2006.

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31

Vajjala, Sowmya, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems. O'Reilly Media, 2020.

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32

Gurevych, Iryna, Jungi Kim, and Nicoletta Calzolari. The People’s Web Meets NLP: Collaboratively Constructed Language Resources. Springer, 2015.

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33

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI NLP). IEEE, 2022.

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34

Staff, IEEE. 2021 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI NLP). IEEE, 2021.

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35

2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI NLP). IEEE, 2023.

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36

Shanmugamani, Rajalingappaa, and Rajesh Arumugam. Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications. Packt Publishing - ebooks Account, 2018.

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37

NLTK Essentials: Build cool NLP and machine learning applications using NLTK and other Python libraries. Packt Publishing, 2015.

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38

Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS). Association for Computational Linguistics, 2022.

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39

Gomez-Perez, Jose Manuel, Ronald Denaux, and Andres Garcia-Silva. Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP. Springer International Publishing AG, 2021.

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40

Dietzen, Chad. Dark NLP Facts : What You Need to Know: Natural Language Processing vs Neuro Linguistic Programming. Independently Published, 2021.

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41

Przepiórkowski, Adam, and Maciej Ogrodniczuk. Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings. Springer, 2014.

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42

Christodoulakis, Dimitris N. Natural Language Processing - NLP 2000: Second International Conference Patras, Greece, June 2-4, 2000 Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence). Springer, 2000.

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43

Reese, Richard M., and AshishSingh Bhatia. Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition. Packt Publishing - ebooks Account, 2018.

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Gomez-Perez, Jose Manuel, Ronald Denaux, and Andres Garcia-Silva. A Practical Guide to Hybrid Natural Language Processing: Combining Neural Models and Knowledge Graphs for NLP. Springer, 2020.

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45

Magajna, Tadej. Natural Language Processing with Flair: A Practical Guide to Understanding and Solving NLP Problems with Flair. Packt Publishing, Limited, 2022.

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46

Institute Of Electrical and Electronics Engineers. 2003 International Conference on Natural Language Processing and Knowledge Engineering: Proceedings: Nlp-Ke 2003: Beijing, China. Institute of Electrical & Electronics Enginee, 2003.

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Natural Language Processing with Python: Hands-On Labs to Apply Deep Learning Architectures to NLP Applications. Independently Published, 2021.

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48

Handbook of Nlp: A Manual for Professional Communicators. Gower Publishing Company, 2002.

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49

Kedwan, Ftoon. NLP Application Through a Rule-Based Mapping Algorithm Between Natural Language Questions and SQL Using Computational Linguistics. CRC Press LLC, 2023.

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50

Huston, Daniel. Exploring the Fascinating World of Natural Language Processing: Revolutionizing Communication and Empowering Machines Through NLP Techniques and Applications. Lulu Press, Inc., 2023.

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