Relevant bibliographies by topics / NLP in Research

Contents

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

Academic literature on the topic 'NLP in Research'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "NLP in Research"

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Bartkowiak, Judy. "Viewpoint: NLP in Qualitative Research." International Journal of Market Research 54, no. 4 (2012): 451–53. http://dx.doi.org/10.2501/ijmr-54-4-451-453.

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Wen, Bo. "Research on the applications of natural language processing." Applied and Computational Engineering 16, no. 1 (2023): 220–27. http://dx.doi.org/10.54254/2755-2721/16/20230896.

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In recent years, there has been a rapid advancement in natural language processing (NLP), leading to notable improvements in areas like sentiment analysis, machine translation, and text recognition. However, belonging to the same field under AI, the research materials and academic topics of NLP are not so adequate. Therefore, this paper introduces and shows the reader a general introduction to NLP for the current research environment, so that the reader can clearly understand the history of NLP, its uses, and the current and future research directions. It also analyzes the current mainstream a
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Erik, Cambria. "A Review of Natural Language Processing Research." Engineering Computations 2017, no. 10 (2017): 10. https://doi.org/10.5281/zenodo.1000805.

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Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which the analysis of a sentence could take up to 7 minutes) to the era of Google and the likes of it (in which millions of webpages can be processed in less than a second). This review paper draws on recent developments in NLP research to look at the past, present, and future of NLP technology in a new light. Borrowing the paradigm of ‘jumping curves’ from the fie
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Cai, Hanwen. "Research on the intersection of natural language processing and deep learning." Applied and Computational Engineering 42, no. 1 (2024): 61–66. http://dx.doi.org/10.54254/2755-2721/42/20230685.

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In the past ten years, Natural Language Processing (NLP) has made many surprising progress due to the rapid development of Deep Learning(DL) and further explored the possibility of future development. This article briefly introduces the NLP field, the basic structure of DL, and the impact of the combination of DL and NLP on the NLP field. Finally, it reviews the limitations of the two under the constraints of current science and technology and looks forward to the possibility and direction of their future development. Appropriately applying DL to NLP can indeed bring great progress to the core
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Sharma, Nakul, and Prasanth Yalla. "Developing Research Questions in Natural Language Processing and Software Engineering." JOIV : International Journal on Informatics Visualization 2, no. 4 (2018): 268. http://dx.doi.org/10.30630/joiv.2.4.159.

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This paper endeavors to develop newer medium of developing research questions by keeping in view both fields of SE and NLP in proper perspectives. An overview of the current state of art research in SE and NLP is presented. This is done by referring to the SE Body of Knowledge (SEBOK). Analogues to SEBOK, there are no separate Body of Knowledge available for the NLP/Computational Linguistics (CL). Hence whatever falls within the category of NLP/CL was considered in framing the research categories from the NLP/CL side. The paper concludes with future scope of the research presented.
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Alahmadi, Dimah, Amal Babour, Kawther Saeedi, and Anna Visvizi. "Ensuring Inclusion and Diversity in Research and Research Output: A Case for a Language-Sensitive NLP Crowdsourcing Platform." Applied Sciences 10, no. 18 (2020): 6216. http://dx.doi.org/10.3390/app10186216.

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In the context of the debate on the need to place citizens at the center of the technological revolution, this paper makes a case for a natural language processing (NLP) crowdsourcing platform that ensures inclusion and diversity, thus making the research outcome relevant and applicable across issues and domains. This paper also makes the case that by enabling participation for a wide variety of stakeholders, this NLP crowdsourcing platform might ultimately prove useful in the decision- and policy-making processes at city, community, and country levels. Against the backdrop of the debates on a
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Crossley, Scott A. "Advancing research in second language writing through computational tools and machine learning techniques: A research agenda." Language Teaching 46, no. 2 (2013): 256–71. http://dx.doi.org/10.1017/s0261444812000547.

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This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies in L2 writing that concentrate on longitudinal writing development, predicting essay quality, examining differences between L1 and L2 writers, the effects of writing topics, and the effects of writing tasks. The paper concludes with implications for th
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Abram, Marissa D., Karen T. Mancini, and R. David Parker. "Methods to Integrate Natural Language Processing Into Qualitative Research." International Journal of Qualitative Methods 19 (January 1, 2020): 160940692098460. http://dx.doi.org/10.1177/1609406920984608.

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Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs, and time spent between a traditional qualitative method (Investigator only) to a method pairing a qualitative investigator with an NLP function (Inve
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Yu, Shun, Anh Le, Emily Feld, et al. "A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study." JMIR Cancer 7, no. 3 (2021): e27970. http://dx.doi.org/10.2196/27970.

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Background Natural language processing (NLP) offers significantly faster variable extraction compared to traditional human extraction but cannot interpret complicated notes as well as humans can. Thus, we hypothesized that an “NLP-assisted” extraction system, which uses humans for complicated notes and NLP for uncomplicated notes, could produce faster extraction without compromising accuracy. Objective The aim of this study was to develop and pilot an NLP-assisted extraction system to leverage the strengths of both human and NLP extraction of prostate cancer Gleason scores. Methods We collecte
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Passmore, Jonathan, and Tatiana Rowson. "Neuro-linguistic programming: A review of NLP research and the application of NLP in coaching." International Coaching Psychology Review 14, no. 1 (2019): 57–69. http://dx.doi.org/10.53841/bpsicpr.2019.14.1.57.

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The huge popularity of neuro-linguistic programming (NLP) over the past three decades has in some ways mirrored the growth in coaching psychology. This paper is part of a series of four papers in a special issue within ICPR that aims to explore NLP coaching from diverse perspectives, offering personal insights or reviews of evidence. As part of this process a pair of authors were invited to advance the case for and the case against NLP. This paper aims to adopt a critical stance; reviewing the concept of NLP, exploring the claims made by advocates and critically reviewing the evidence from a p
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Dissertations / Theses on the topic "NLP in Research"

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CHIUDINELLI, LORENZO. "An IT infrastructure to support oncological research empowered by NLP and temporal data mining." Doctoral thesis, Università degli studi di Pavia, 2020. http://hdl.handle.net/11571/1315929.

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Al giorno doggi i dati elettronici ospedalieri vengono mantenuti in strutture dati che spesso sono organizzati per conservare linformazione ma non la rendono facilmente fruibile per ulteriori applicazioni. Inoltre, allinterno di questi dati si nota una suddivisione netta dellinformazione basata spesso sul dipartimento di provenienza. Manca dunque una visione integrata dei dati che potrebbe dimostrarsi una sorgente inesplorata di informazione. In questa tesi viene presentata lapplicazione di i2b2 come piattaforma dati adatta alla aggregazione di dati provenienti dai vari database ospedalieri e
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Day, Trevor Rodney. "A study of a small-scale classroom intervention that uses an adapted neuro-linguistic programming (NLP) modelling approach." Thesis, University of Bath, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488898.

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This is a largely qualitative, part quantitative, inquiry into the effectiveness of classroom modelling in helping tertiary students prepare for their AS-level examinations. Classroom modelling, a form of peer modelling developed by the author, draws substantially upon neuro-linguistic programming (NLP), a discipline regarded as controversial in education. Classroom modelling involves students investigating each other's more successful practices and drawing out elements that might be woven into their own practice.
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Blomkvist, Oscar. "Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506.

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In this thesis, we analyse the sentiment in equity research reports written by analysts at Skandinaviska Enskilda Banken (SEB). We provide a description of established statistical and machine learning methods for classifying the sentiment in text documents as positive or negative. Specifically, a form of recurrent neural network known as long short-term memory (LSTM) is of interest. We investigate two different labelling regimes for generating training data from the reports. Benchmark classification accuracies are obtained using logistic regression models. Finally, two different word embedding
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Bhaduri, Sreyoshi. "NLP in Engineering Education - Demonstrating the use of Natural Language Processing Techniques for Use in Engineering Education Classrooms and Research." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82202.

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Engineering Education is a developing field, with new research and ideas constantly emerging and contributing to the ever-evolving nature of this discipline. Textual data (such as publications, open-ended questions on student assignments, and interview transcripts) form an important means of dialogue between the various stakeholders of the engineering community. Analysis of textual data demands consumption of a lot of time and resources. As a result, researchers end up spending a lot of time and effort in analyzing such text repositories. While there is a lot to be gained through in-depth rese
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Pockley, Simon Charles Nepean. "The flight of ducks research report." [Melbourne] : S. Pockley, 1998. http://purl.nla.gov.au/nla/pandora/FOD.

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"Submitted by Simon Charles Nepean Pockley ... as a partial requirement for Degree of Doctor of Philosophy by Project 18th July, 1998". "WARNING culturally sensitive material". Available [on line] http://www.cinemedia.net/FOD/FOD0043.html Archived at ANL http://purl.nla.gov.au/nla/pandora/FOD http Text, graphics, sound and animation The Flight of ducks is a multi-purpose on-line work built around a collection of archival material from a camel expedition into the central Australian frontier in 1933. This journey was revisited in 1976 and retraced in 1996."- leaf 1.
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SUI, ZHENHUAN. "Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637.

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Runko, Alexander Peter. "Function of the Zinc-Finger Repressor NLZ in the Developing Zebrafish Hindbrain: a Dissertation." eScholarship@UMMS, 2003. https://escholarship.umassmed.edu/gsbs_diss/74.

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Generation of the primitive neuroectoderm into specialized brain subdivisions, such as the hindbrain primordium, involves the regulated coordination of complex morphogenetic and molecular mechanisms. These processes are evident in the segregation of the zebrafish hindbrain into seven distinct lineage-restricted compartments, termed rhombomeres (r), which are established by the interplay of several spatially-restricted expressed genes. These include transcription factors, members of specific signaling pathways and specialized molecules that mediate cell adhesion and identity. Despite their exte
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Bertani, Paul. "Advancing Healthcare: A 3D Nanoscale Cell Electroporation Platform and AlGaN/GaN Biosensors for Cyanobacterial Toxin Detection." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu159828807909402.

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Ramakrishnan, Vijaya. "Use of Simulation for Tracheostomy Care, a Low Volume, High Risk Nursing Procedure." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4981.

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Often, education regarding low volume and high-risk procedures, like tracheostomy, are ignored. Lack of experience, skills, and human resources can lead to decreases in confidence levels, diminished quality of care, and potentially an adverse event. The purpose of this DNP project was to prepare simulation-based education on the tracheostomy procedure and provide hands-on education to bedside nurses. The project answered the question: To what extent will a simulation-based teaching method adequately prepare staff nurses in a post-acute surgical unit to perform this high risk low volume procedu
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CHHABRA, MONICA. "Modeling and Analysis of Ligand Docking to Norovirus Capsid Protein for the Computer-Aided Drug Design." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209001634.

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Books on the topic "NLP in Research"

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McPhee, Neil. The hidden art of interviewing: The use of NLP and more in market research interviewing. John Wiley & Sons, 2007.

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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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Kozyrev, Vi︠a︡cheslav. Rukotvornye NLO. "I︠A︡UZA", 2005.

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National Library for the Environment (U.S.), National Council for Science and the Environment (U.S.), and Library of Congress. Congressional Research Service., eds. Congressional Research Service reports: Redistributed as a service of the NLE. National Council for Science and the Environment, National Library for the Environment, 1999.

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Minton, Dwayne. Survey of the submerged ordnance at Camel Rock and War in the Pacific NHP, Guam. War in the Pacific NHP, 2006.

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Minton, Dwayne. Survey of the submerged ordnance at Camel Rock and War in the Pacific NHP, Guam. War in the Pacific NHP, 2006.

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J. C. van den Bos. NASA-NLR long-line experiment: A first step to connected air traffic management research facilities. National Aerospace Laboratoy, 1994.

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Jan A. van der Bliek. 75 years of aerospace research in the Netherlands: A sketch of the National Aerospace Laboratory NLR, 1919-1994. Nationaal Lucht- en Ruimtevaartlaboratorium, 1994.

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Current Research in NLP: vol 1 - Proceedings of 2008 Conference. Association for Neuro Linguistic Programming, 2010.

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Current Research in NLP Vol.1 Proceedings of 2008 Conference. Association for NLP, 2010.

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Book chapters on the topic "NLP in Research"

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Gass, Saul I., and Carl M. Harris. "NLP." In Encyclopedia of Operations Research and Management Science. Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_672.

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de Rijk, Lisa, and Phil Parker. "The future of NLP research." In Neurolinguistic Programming in Clinical Settings. Routledge, 2021. http://dx.doi.org/10.4324/9781003198864-12.

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Tosey, Paul, and Jane Mathison. "What Does Research Say About NLP?" In Neuro-Linguistic Programming. Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230248311_11.

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Amaya Moreno, Liana, Zhi Yuan, Armin Fügenschuh, Anton Kaier, and Swen Schlobach. "Combining NLP and MILP in Vertical Flight Planning." In Operations Research Proceedings. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42902-1_37.

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Ndiaye, Samba. "NLP and Some Research Results in Senegal." In Springer Proceedings in Mathematics & Statistics. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-66222-5_2.

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Turukmane, Anil Vithalrao, Lakshmi Narayana Avula, Chaitanya Gunji, Reddy Nithish Kumar Devapatla, and Somnath Ambati. "Stress Detection Using NLP and DL Models." In Advances in Computer Science Research. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-718-2_147.

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Darapaneni, Narayana, David Pratap, B. G. Sudha, Rani Mathialagan, and Anwesh Reddy Paduri. "Farmer Assistant Bot - NLP and Conversational AI." In Interdisciplinary Research in Technology and Management. CRC Press, 2024. http://dx.doi.org/10.1201/9781003430469-18.

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Müller, Benjamin, Renke Kuhlmann, and Stefan Vigerske. "On the Performance of NLP Solvers Within Global MINLP Solvers." In Operations Research Proceedings. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89920-6_84.

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Jadhav, Dipti, Chinmay Shirsath, Siddharth Sahasrabuddhe, and Prabhatkumar Singh. "Recognition of Voice and Speech Using NLP Techniques." In Deep Learning Concepts in Operations Research. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781003433309-7.

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Kuniyoshi, Fusataka, Jun Ozawa, and Makoto Miwa. "Analyzing Research Trends in Inorganic Materials Literature Using NLP." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86517-7_20.

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Conference papers on the topic "NLP in Research"

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Subramonian, Arjun, Vagrant Gautam, Dietrich Klakow, and Zeerak Talat. "Understanding “Democratization” in NLP and ML Research." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.184.

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Krukaset, Nuchjarin, Watcharapong Krukaset, and Chouvalit Khancome. "Noun Phrase Engine for Thai NLP." In 2024 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C). IEEE, 2024. https://doi.org/10.1109/ri2c64012.2024.10784422.

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Qu, WangYue, and JianLiang Li. "Research on Named Entity Recognition Algorithm Based on NLP." In 2024 IEEE 12th International Conference on Information, Communication and Networks (ICICN). IEEE, 2024. https://doi.org/10.1109/icicn62625.2024.10761899.

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Wilson, Shomir. "Documenting the Unwritten Curriculum of Student Research." In Proceedings of the Sixth Workshop on Teaching NLP. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.teachingnlp-1.1.

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Herath, Tharindu, and Dinesh Asanka. "Robotic Process Automation Activity Recommendation using NLP Techniques." In 2025 5th International Conference on Advanced Research in Computing (ICARC). IEEE, 2025. https://doi.org/10.1109/icarc64760.2025.10963182.

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Hannachi, Feriel, Arezki Hammache, and Fayçal Saidani. "Identifying Important Citation Through Cascading Models and NLP Techniques." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11037110.

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Wimlasuriya, Dinuka Theijan, Chathura Rajapakse, and Yehemini Jayatissa. "Advanced NLP Framework for Analyzing Elasticity Feedback in Apparel Design." In 2025 International Research Conference on Smart Computing and Systems Engineering (SCSE). IEEE, 2025. https://doi.org/10.1109/scse65633.2025.11031022.

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Yu, Longhai, Qianchuang Zhi, Zhen Guo, and Yuqiao Ning. "Research on Semantic Automated Transformation of Automotive Vulnerabilities Based on NLP." In 2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP). IEEE, 2024. https://doi.org/10.1109/mlnlp63328.2024.10800198.

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Liu, Youyao, Yuechi Ma, Sicong Zhou, and Xun Luo. "A Survey of Research and Application of NLP-based Machine Translation." In 2024 6th International Conference on Natural Language Processing (ICNLP). IEEE, 2024. http://dx.doi.org/10.1109/icnlp60986.2024.10692780.

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Akinrinwa, Sadura Priscilla, Samuel Tolulope Ogunjo, and Kehinde Dennis Akinrinwa. "NLP Model for Postgraduate Research Examiner Recommendation Based on Scholarly Activity." In 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). IEEE, 2024. https://doi.org/10.1109/nigercon62786.2024.10927226.

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Reports on the topic "NLP in Research"

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Pande, Vikram. Looking to Collaborate on ML Research (NLP / Multimodal AI). ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.tr6juazr.

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Pasupuleti, Murali Krishna. Decentralized Creativity: AI-Infused Blockchain for Secure and Transparent Digital Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi125.

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Abstract The convergence of artificial intelligence (AI) and blockchain technology is transforming the creative economy by enabling secure, transparent, and decentralized innovation in digital content creation, intellectual property management, and monetization. Traditional creative industries are often constrained by centralized platforms, opaque copyright enforcement, and unfair revenue distribution, which limit the autonomy and financial benefits of creators. By leveraging blockchain’s immutable ledger, smart contracts, and non-fungible tokens (NFTs), digital assets can be authenticated, to
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Matthews, Lisa, Guanming Wu, Robin Haw, et al. Illuminating Dark Proteins using Reactome Pathways. Reactome, 2022. http://dx.doi.org/10.3180/poster/20221027matthews.

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Diseases are often the consequence of proteins or protein complexes that are non-functional or that function improperly. An active area of research has focused on the identification of molecules that can interact with defective proteins and restore their function. While 22% percent of human proteins are estimated to be druggable, less than fifteen percent are targeted by FDA-approved drugs, and the vast majority of untargeted proteins are understudied or so-called "dark" proteins. Elucidation of the function of these dark proteins, particularly those in commonly drug-targeted protein families,
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Regina, Betz, Stephan Gunter, Alison Anderson, et al. Overview of the State of Research in NRP 73. Swiss National Science Foundation (SNSF), 2020. http://dx.doi.org/10.46446/overviewstateofresearch_nrp73.2020.1.en.

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Patel, Vishal, Wesley Deason, and Michael Eades. Center for Space Nuclear Research (CSNR) NTP Design Team Report. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1482994.

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Andreas, Balthasar, and Schalcher Hans-Rudolf. Research for Switzerland’s energy future. Swiss National Science Foundation (SNSF), 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.1.en.

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The résumé of the NRP “Energy” is a scientific contribution to the process of opinion formation, to political and specialist debate as well as to the planning of strategies and measures necessary for the transformation of the energy system against the backdrop of Switzerland’s Energy Strategy 2050. With the suggested approaches and recommendations, the résumé is especially aimed at those key stakeholders who, to a considerable extent, shape the energy system and who can thus also influence its development.
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Salathé, Marcel. Synthesis Report of the National Research Programme “Covid-19” (NRP 78). Edited by Mark Bächer. Steering Committee of NRP 78, 2023. http://dx.doi.org/10.46446/publication_nrp78.2023.en.

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Frey, Joachim, and Stéphane Praz. Programme summary of the National Research Programme “Antimicrobial Resistance” (NRP 72). Swiss National Science Foundation SNSF, 2022. http://dx.doi.org/10.46446/publication_nrp72.2022.1.en.

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The programme summary is aimed not only at decision makers in the fields of practice and policy, but also the general public. In it, the Steering Committee summarises the key background information, action areas and measures that, in its view, emerge from the work of NRP 72.
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Toossi, Saied, Jessica E. Todd, Joanne (Joanne Frances) Guthrie, and Michael Ollinger. The National School Lunch Program. U.S. Department of Agriculture, Economic Research Service, 2024. http://dx.doi.org/10.32747/2024.8633520.ers.

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The National School Lunch Program (NSLP) is the Nation's second-largest food and nutrition assistance program, providing billions of meals to tens of millions of children and adolescents each year. USDA, Economic Research Service (ERS) periodically reports on NSLP policies and program operations, often after major changes to the program's rules and guidelines. The last such report was published in 2008. Since then, the program has undergone major changes precipitated by the passage of the Healthy, Hunger-Free Kids Act of 2010 and the effects of the Coronavirus (COVID-19) pandemic. Changing eco
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Boyd, Windy, Robyn Blain, Courtney Skuce, Kristina Thayer, and Andrew Rooney. NTP Research Report on the Scoping Review of Paraquat Dichloride Exposure and Parkinson’s Disease. NIEHS, 2020. http://dx.doi.org/10.22427/ntp-rr-16.

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