P2N2S: Bridging the gap between natural and programming languages for code summarization via large language models

Συγγραφείς: Tang, Yijia^Aff1, Yu, YaoShen^{Aff2, Aff4}, Huang, Zhiqiu^{Aff1, Aff2, Aff3, IDs11280025013953_cor1}, Xia, Bowei^Aff1, Cao, Yukun^Aff5

Πηγή: World Wide Web: Internet and Web Information Systems. 29(1)

Investigating the Relationship Between Surprisal and Processing in Programming Languages

Συγγραφείς: Dodd, Nicole, Reese, Skyler Jove, Morgan, Emily

Πηγή: Proceedings of the Annual Meeting of the Cognitive Science Society. 46

Θεματικοί όροι: Computer Science, Linguistics, Language understanding, Reading, Eye tracking

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://escholarship.org/uc/item/72k728wq
https://escholarship.org/content/qt72k728wq/qt72k728wq.pdf

Technical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia

Συγγραφείς: Rosas-Román, Ignacio^aff1, Guillén-Alonso, Héctor^{aff2, aff3}, Moreno-Pedraza, Abigail^{aff4, aff5}, Winkler, Robert^aff2

Πηγή: Analytical Chemistry. 96(10):3999-4004

Διαθεσιμότητα: https://pubs.acs.org/doi/10.1021/acs.analchem.3c05853

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Συγγραφείς: Flynn, Patrick, Vanderbruggen, Tristan, Liao, Chunhua, Lin, Pei-Hung, Emani, Murali, Shen, Xipeng

Θεματικοί όροι: Computer Science - Machine Learning, Computer Science - Programming Languages

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2208.05596

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Συγγραφείς: Long, Ting, Xie, Yutong, Chen, Xianyu, Zhang, Weinan, Cao, Qinxiang, Yu, Yong

Θεματικοί όροι: Computer Science - Machine Learning, Computer Science - Programming Languages, Computer Science - Software Engineering

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2202.12481

PLP 2021: Workshop on Programming Language Processing

Συγγραφείς: Xu, Chang, Ma, Siqi, Lo, David

Πηγή: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. :4171-4172

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3447548.3469460

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Συγγραφείς: Ting Long, Yutong Xie 0007, Xianyu Chen, Weinan Zhang 0001, Qinxiang Cao, Yong Yu 0001

Πηγή: Proceedings of the AAAI Conference on Artificial Intelligence. 36:5792-5799

Θεματικοί όροι: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Software Engineering, Computer Science - Programming Languages, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG), Programming Languages (cs.PL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2202.12481
https://arxiv.org/abs/2202.12481

Milo: Attacking Deep Pre-trained Model for Programming Languages Tasks with Anti-analysis Code Obfuscation

Συγγραφείς: Song, Leo, Ding, Steven H.H.

Πηγή: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) COMPSAC Computers, Software, and Applications Conference (COMPSAC), 2023 IEEE 47th Annual. :586-594 Jun, 2023

Relation: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)

Programming Language Processing : How AI can Revolutionize Software Development?

Συγγραφείς: Ray, Baishakhi

Πηγή: Proceedings of the 16th Innovations in Software Engineering Conference. :1-1

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3578527.3581766

Programming Language Processing (Dagstuhl Seminar 23062)

Συγγραφείς: Pradel, Michael, Ray, Baishakhi, Sutton, Charles, Yahav, Eran

Συνεισφορές: Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav

Πηγή: Dagstuhl Reports. 13:20-32

Θεματικοί όροι: ML4SE, Neural Software Analysis, ML4PL

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.20

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines

Συγγραφείς: Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen

Πηγή: Lecture Notes in Computer Science ISBN: 9783031368882

Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Programming Languages, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG), Programming Languages (cs.PL)

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2208.05596

Visual Graph Question Answering with ASP and LLMs for Language Parsing

Συγγραφείς: Bauer, J. J., Author, Eiter, T., Author, Ruiz, N. H., Author, Oetsch, Johannes, Author

Συνεισφορές: Bauer, J. J., Author, Eiter, T., Author, Ruiz, N. H., Author, Oetsch, Johannes, Author

Πηγή: Proceedings 40th International Conference on Logic Programming Electronic Proceedings in Theoretical Computer Science, EPTCS. :15-28

Θεματικοί όροι: Graph neural networks, Problem oriented languages, Subways, Visual languages, Answer set programming, Interpretability, Language model, Language processing, Modulars, Multimodal inputs, Natural languages, Optical, Question Answering, Visual Graph, Natural language processing systems

Περιγραφή αρχείου: print

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-67416
https://doi.org/10.4204/EPTCS.416.2

Python for Natural Language Processing: Programming with NumPy, scikit-learn, Keras, and PyTorch: Third Edition

Συγγραφείς: Nugues, Pierre M., Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section II, Thoracic Surgery, Artificial Intelligence in CardioThoracic Sciences (AICTS), Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion II, Thoraxkirurgi, Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS), Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Συνεισφορές: Nugues, Pierre M., Author, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Robotics and Semantic Systems, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Robotik och Semantiska System, Originator, Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Computer Science, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för datavetenskap, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section II, Thoracic Surgery, Artificial Intelligence in CardioThoracic Sciences (AICTS), Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion II, Thoraxkirurgi, Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS), Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), ELLIIT: the Linköping-Lund initiative on IT and mobile communication, Originator

Πηγή: Cognitive Technologies. Part F3170

Θεματικοί όροι: Natural Sciences, Computer and Information Sciences, Computer Sciences, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Datavetenskap (Datalogi)

Yet another meta-language for programming language processing

Συγγραφείς: Chen, Haiming, Dong, Yunmei

Πηγή: ACM SIGPLAN Notices. 37(6):28-37

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/571727.571733

Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

Συγγραφείς: Lundén, Daniel, Author, Öhman, Joey, Author, Kudlicka, Jan, Author, Senderov, Viktor, Author, Ronquist, Fredrik, 1962-, Author, Broman, David, Author

Συνεισφορές: Lundén, Daniel, Author, Öhman, Joey, Author, Kudlicka, Jan, Author, Senderov, Viktor, Author, Ronquist, Fredrik, 1962-, Author, Broman, David, Author

Πηγή: Programming Languages and Systems Lecture Notes in Computer Science. :29-56

Θεματικοί όροι: Compilers, GPU Compilation, Probabilistic Programming Languages, Sequential Monte Carlo, Application programming interfaces (API), C++ (programming language), Data flow analysis, Flow graphs, Graphics processing unit, Monte Carlo methods, Automatic inference, Control-flow graphs, Inference problem, Language implementations, Low-level language, Monte Carlo inference, Probabilistic programming language, Real-world problem, Program compilers

Περιγραφή αρχείου: print

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-206351
https://doi.org/10.1007/978-3-030-99336-8_2

PLISP: A PlayLISt Processing Language

Συγγραφείς: Franklin, Austin, Author, Lindell, Rikard, 1973-, Author

Συνεισφορές: Franklin, Austin, Author, Lindell, Rikard, 1973-, Author

Πηγή: PdMaxCon25~.

Θεματικοί όροι: domain-specific programming language, audio sample manipulation, LISP, self-organising map, Audiovisuella seminariet

Περιγραφή αρχείου: electronic

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:du-52168
https://du.diva-portal.org/smash/get/diva2:2022832/FULLTEXT01.pdf

Textual vs. visual programming languages in programming education for primary schoolchildren

Συγγραφείς: Tsukamoto, Hidekuni, Takemura, Yasuhiro, Oomori, Yasumasa, Ikeda, Isamu, Nagumo, Hideo, Monden, Akito, Matsumoto, Ken-ichi

Πηγή: 2016 IEEE Frontiers in Education Conference (FIE) Frontiers in Education Conference (FIE), 2016 IEEE. :1-7 Oct, 2016

Relation: 2016 IEEE Frontiers in Education Conference (FIE)

Interprocess communication in the process specification language / Conrad Bock.

Συγγραφείς: Bock, C. (Conrad)

Θεματικοί όροι: Process control -- Data processing., Production control -- Data processing., Programming languages (Electronic computers), Process control -- Data processing., Production control -- Data processing., Programming languages (Electronic computers)

Διαθέσιμο Online: https://purl.fdlp.gov/GPO/gpo96371
https://www.govinfo.gov/content/pkg/GOVPUB-C13-2be937b5fd9d859ef75eec27d961746a/pdf/GOVPUB-C13-2be937b5fd9d859ef75eec27d961746a.pdf

On the effectiveness of hybrid pooling in mixup-based graph learning for language processing

Συγγραφείς: Dong, Zeming ^a, Hu, Qiang ^{b, ⁎}, Zhang, Zhenya ^a, Guo, Yuejun ^c, Cordy, Maxime ^b, Papadakis, Mike ^b, Traon, Yves Le ^b, Zhao, Jianjun ^a

Πηγή: In The Journal of Systems & Software October 2024 216

Programming Language Processing (Dagstuhl Seminar 23062)

Συγγραφείς: Michael Pradel and Baishakhi Ray and Charles Sutton and Eran Yahav, Pradel, Michael, Ray, Baishakhi, Sutton, Charles, Yahav, Eran

Όροι ευρετηρίου: ML4PL, ML4SE, Neural Software Analysis, Article, Text, doc-type:ResearchArticle, publishedVersion

Σύνδεσμος: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.2.20
Is Part Of Dagstuhl Reports, Volume 13, Issue 2 (2023)