Suchergebnisse - ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing*

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  1. 1

    VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES

    Autoren: Jourlin, Pierre Laboratoire Informatique d'Avignon (LIA) Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI

    Weitere Verfasser: Jourlin, Pierre Laboratoire Informatique d'Avignon (LIA) Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI

    Quelle: https://hal.science/hal-03598242 ; France, Patent n° : EP3937059A1. 2022.

    Schlagwörter: ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.6: Text analysis, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO]Computer Science [cs]

    Relation: Patent N°: EP3937059A1

    Verfügbarkeit: https://hal.science/hal-03598242

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  2. 2

    ReaderBench -analiza bazată pe coeziune a implicării și a colaborării participanților în cadrul conversațiilor CSCL

    Autoren: Dascălu, Mihai Trăușan-Matu, Ștefan Dessus, Philippe et al.

    Weitere Verfasser: Dascălu, Mihai Trăușan-Matu, Ștefan Dessus, Philippe et al.

    Quelle: Proc. 10-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2013) ; https://hal.science/hal-01412586 ; Proc. 10-a Conferinta Nationala de Interactiune Om-Calculator (RoCHI 2013), T. Stefanut; C. Rusu, 2013, Cluj, Romania. pp. 57-64

    Schlagwörter: învățarea colaborativă asistată de calculator (CSCL - Computer Supported Collaborative Learning), coeziunea textelor, dialogism, colaborare, analiza semantică latentă (LSA – Latent Semantic Analysis), alocarea latentă Dirichlet (LDA – Latent Dirichlet Allocation), ACM: I.: Computing Methodologies, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing, [SHS.EDU]Humanities and Social Sciences/Education, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning

    Geographisches Schlagwort: Cluj, Romania

    Relation: info:eu-repo/grantAgreement/EC/FP7/264207/EU/Empowering Romanian Research on Intelligent Information Technologies/ERRIC; info:eu-repo/grantAgreement//107/1.5/S/76909/EU/ /POSDRU

    Verfügbarkeit: https://hal.science/hal-01412586
    https://hal.science/hal-01412586v1/document
    https://hal.science/hal-01412586v1/file/RoCHI_2013_submission_21.pdf

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  3. 3

    Les lapins magiciens

    Autoren: Amblard, Maxime Semantic Analysis of Natural Language (SEMAGRAMME) Centre Inria de l'Université de Lorraine et al.

    Weitere Verfasser: Amblard, Maxime Semantic Analysis of Natural Language (SEMAGRAMME) Centre Inria de l'Université de Lorraine et al.

    Quelle: https://inria.hal.science/hal-02414345 ; 2021.

    Schlagwörter: ACM: I.: Computing Methodologies, [SCCO.LING]Cognitive science/Linguistics, [SCCO.COMP]Cognitive science/Computer science, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Verfügbarkeit: https://inria.hal.science/hal-02414345
    https://inria.hal.science/hal-02414345v4/document
    https://inria.hal.science/hal-02414345v4/file/lapinsmagiciens.pdf

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  4. 4

    From RESEDA's Metalanguage to NKRL, the Narrative Knowledge Representation Language: Useful Computational Tools for the Historians

    Autoren: Zarri, Gian, Piero Sens, Texte, Informatique, Histoire (STIH) Sorbonne Université (SU)

    Weitere Verfasser: Zarri, Gian, Piero Sens, Texte, Informatique, Histoire (STIH) Sorbonne Université (SU)

    Quelle: https://hal.science/hal-02482377 ; 2020.

    Schlagwörter: History and Computer science, Narratives, Knowledge Representation, Metalanguage, Inference Techniques, ACM: I.: Computing Methodologies, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

    Verfügbarkeit: https://hal.science/hal-02482377

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  5. 5

    From RESEDA's Metalanguage to NKRL, the Narrative Knowledge Representation Language: Useful Computational Tools for the Historians

    Autoren: Zarri, Gian Sens, Texte, Informatique, Histoire (STIH) Sorbonne Université (SU)

    Weitere Verfasser: Zarri, Gian Sens, Texte, Informatique, Histoire (STIH) Sorbonne Université (SU)

    Quelle: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02482377 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press

    Schlagwörter: Inference Techniques, History and Computer science, Narratives, Knowledge Representation, Metalanguage, ACM: I.: Computing Methodologies, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

    Relation: hal-02482377; https://hal.archives-ouvertes.fr/hal-02482377; https://hal.archives-ouvertes.fr/hal-02482377/document; https://hal.archives-ouvertes.fr/hal-02482377/file/From%20the%20RESEDA%20Metalanguage%20to%20NKRL.pdf

    Verfügbarkeit: https://hal.archives-ouvertes.fr/hal-02482377
    https://hal.archives-ouvertes.fr/hal-02482377/document
    https://hal.archives-ouvertes.fr/hal-02482377/file/From%20the%20RESEDA%20Metalanguage%20to%20NKRL.pdf

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  6. 6

    Generation of Training Examples for Tabular Natural Language Inference

    Autoren: Bussotti, Jean-Flavien Veltri, Enzo Santoro, Donatello et al.

    Weitere Verfasser: Bussotti, Jean-Flavien Veltri, Enzo Santoro, Donatello et al.

    Quelle: EISSN: 2836-6573 ; Proceedings of the ACM on Management of Data ; https://hal.science/hal-04249392 ; Proceedings of the ACM on Management of Data, In press, 1 (4), ⟨10.1145/3626730⟩

    Schlagwörter: Natural Language Processing (NLP) for Databases, Machine learning, Artificial intelligence, Computing methodologies, [INFO]Computer Science [cs]

    Verfügbarkeit: https://hal.science/hal-04249392
    https://hal.science/hal-04249392v1/document
    https://hal.science/hal-04249392v1/file/publi-7476.pdf
    https://doi.org/10.1145/3626730

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  7. 7

    Evaluation of a Context-Aware Voice Interface for Ambient Assisted Living: Qualitative User Study vs. Quantitative System Evaluation

    Autoren: Vacher, Michel Caffiau, Sybille Portet, François et al.

    Weitere Verfasser: Vacher, Michel Caffiau, Sybille Portet, François et al.

    Quelle: ACM Transactions on Accessible Computing. 7:1-36

    Schlagwörter: user evaluation, smart home, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing/I.2.7.5: Speech recognition and synthesis, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], 05 social sciences, ACM: K.: Computing Milieux/K.4: COMPUTERS AND SOCIETY/K.4.2: Social Issues/K.4.2.1: Assistive technologies for persons with disabilities, Computing Milieux, Computing Methodologies, 3. Good health, ambient intelligence, assistive technology, HCI)/H.5.2: User Interfaces/H.5.2.8: Natural language, 0501 psychology and cognitive sciences, context- aware inter- action, voice command, Information Systems

    Zugangs-URL: https://hal.archives-ouvertes.fr/hal-01138090/file/2015_Taccess_Vacher_draft.pdf
    https://hal.archives-ouvertes.fr/hal-01138090v3
    https://hal.archives-ouvertes.fr/hal-01138090/document
    https://dl.acm.org/doi/10.1145/2738047
    https://dl.acm.org/citation.cfm?id=2738047
    https://dblp.uni-trier.de/db/journals/taccess/taccess7.html#VacherCPMRELC15

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  8. 8

    Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey.

    Autoren: Perez-Cerrolaza, Jon Abella, Jaume Borg, Markus et al.

    Quelle: ACM Computing Surveys; Jul2024, Vol. 56 Issue 7, p1-40, 40p

    Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, MACHINE learning, NATURAL language processing, HIGH performance computing, SOFTWARE verification, MIDDLEWARE

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  9. 9

    A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models.

    Autoren: HANQING ZHANG HAOLIN SONG SHAOYU LI et al.

    Quelle: ACM Computing Surveys; Mar2024, Vol. 56 Issue 3, p1-37, 37p

    Schlagwörter: ARTIFICIAL intelligence, LANGUAGE models, ARTIFICIAL neural networks, NATURAL language processing, AFFECTIVE computing, MACHINE translating, DIGITAL storytelling

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  10. 10

    Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy.

    Autoren: Mehta, Vinit Sharma, Charu Thiyagarajan, Karthick

    Quelle: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6394, 51p

    Schlagwörter: LANGUAGE models, THREE-dimensional imaging, COGNITIVE robotics, CONTEXT-aware computing, NATURAL language processing, MULTISENSOR data fusion, ARTIFICIAL intelligence

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  11. 11

    Knowledge Graph for NLG in the context of conversational agents ; Knowledge Graph pour NLG dans le contexte des agents conversationnels

    Autoren: Ghanem, Hussam Atmani, Massinissa Cruz, Christophe et al.

    Weitere Verfasser: Ghanem, Hussam Atmani, Massinissa Cruz, Christophe et al.

    Quelle: French Regional Conference on Complex Systems (FRCCS 2023) ; https://hal.science/hal-04146881 ; French Regional Conference on Complex Systems (FRCCS 2023), May 2023, Le Havre, France

    Schlagwörter: Conversational agents, Knowledge graphs, Natural Language Generation, ACM: F.: Theory of Computation, ACM: H.: Information Systems, ACM: I.: Computing Methodologies, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Geographisches Schlagwort: Le Havre, France

    Relation: info:eu-repo/semantics/altIdentifier/arxiv/2307.01548; ARXIV: 2307.01548

    Verfügbarkeit: https://hal.science/hal-04146881
    https://hal.science/hal-04146881v1/document
    https://hal.science/hal-04146881v1/file/KG_for_NLG_in_ConvAgents_GhanemAtmaniCruz.pdf

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  12. 12

    AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

    Autoren: Dakhia, Zohra Russo, Mariateresa Merenda, Massimo

    Quelle: Sensors (14248220); Apr2025, Vol. 25 Issue 7, p2147, 36p

    Schlagwörter: NATURAL language processing, COMPUTER vision, ARTIFICIAL intelligence, FEDERATED learning, SUSTAINABILITY, FOOD safety

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  13. 13

    Automatic Nested Spatial Entity and Spatial Relation Extraction From Text for Knowledge Graph Creation: A Baseline Approach and a Benchmark Dataset

    Autoren: Rawsthorne, Helen, Mair Abadie, Nathalie Kergosien, Eric et al.

    Weitere Verfasser: Rawsthorne, Helen, Mair Abadie, Nathalie Kergosien, Eric et al.

    Quelle: GeoHumanities '23: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities ; 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities, 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023) ; https://hal.science/hal-04294222 ; 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities, 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023), Nov 2023, Hambourg, Germany. pp.21-30, ⟨10.1145/3615887.3627754⟩ ; https://sigspatial2023.sigspatial.org/

    Schlagwörter: spatial knowledge, Information extraction geographic information, Natural language processing, Computing methodologies → Artificial intelligence, language model, neural network, deep learning, binary spatial relation, nested spatial entity, maritime data, Computing methodologies → Artificial intelligence Natural language processing Information extraction geographic information, geographic information, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, [INFO]Computer Science [cs], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [SHS]Humanities and Social Sciences, [SHS.GEO]Humanities and Social Sciences/Geography

    Geographisches Schlagwort: Hambourg, Germany

    Relation: https://doi.org/10.5281/zenodo.10568801; https://hal.science/hal-04424416v1

    Verfügbarkeit: https://hal.science/hal-04294222
    https://hal.science/hal-04294222v1/document
    https://hal.science/hal-04294222v1/file/rawsthorne_2023_geohumanities_sigspatial.pdf
    https://doi.org/10.1145/3615887.3627754

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  14. 14

    Emoji Recommendation in Private Instant Messages

    Autoren: Guibon, Gaël Ochs, Magalie Bellot, Patrice et al.

    Weitere Verfasser: Guibon, Gaël Ochs, Magalie Bellot, Patrice et al.

    Quelle: SAC '18 Proceedings of the 33rd Annual ACM Symposium on Applied Computing ; https://amu.hal.science/hal-01871071 ; SAC '18 Proceedings of the 33rd Annual ACM Symposium on Applied Computing, Apr 2018, Pau, France. ⟨10.1145/3167132.3167430⟩

    Schlagwörter: natural language processing, Emoji recommendation, CCS CONCEPTS • Computing methodologies → Information extraction, multi-label classification, messaging application, Emoji, CCS CONCEPTS• Computing methodologies→Information extraction, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

    Geographisches Schlagwort: Pau, France

    Verfügbarkeit: https://amu.hal.science/hal-01871071
    https://amu.hal.science/hal-01871071v1/document
    https://amu.hal.science/hal-01871071v1/file/emoji_prediction_instant_messages_sac2018_camera_ready_doi.pdf
    https://doi.org/10.1145/3167132.3167430

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  15. 15

    "It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers.

    Autoren: PRATHER, JAMES REEVES, BRENT N. DENNY, PAUL et al.

    Quelle: ACM Transactions on Computer-Human Interaction (TOCHI); Feb2024, Vol. 31 Issue 1, p4-31, 31p

    Schlagwörter: ARTIFICIAL intelligence, LANGUAGE models, GENERATIVE pre-trained transformers, NATURAL language processing, GENERATIVE artificial intelligence, INTELLIGENT tutoring systems, DEEP learning

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  16. 16

    Artificial intelligence: reflecting on the past and looking towards the next paradigm shift.

    Autoren: Radanliev, Petar

    Quelle: Journal of Experimental & Theoretical Artificial Intelligence; Oct2025, Vol. 37 Issue 7, p1045-1062, 18p

    Schlagwörter: ARTIFICIAL intelligence, DEEP learning, MACHINE learning, COGNITIVE computing, ARTIFICIAL neural networks, BIG data, NATURAL language processing, TRANSFER of training

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  17. 17

    COBIAS: Assessing the Contextual Reliability of Bias Benchmarks for Language Models

    Autoren: Priyanshul Govil Hemang Jain Vamshi Bonagiri et al.

    Quelle: Proceedings of the 17th ACM Web Science Conference 2025. :460-471

    Schlagwörter: FOS: Computer and information sciences, Computer Science - Computation and Language, Bias Benchmark, Computer Science - Artificial Intelligence, Natural language processing, Framework, Context-Oriented Bias Indicator and Assessment Score (COBIAS), Large Language Models (LLMs), Language Model, Stereotype, Computing methodologies, Artificial Intelligence (cs.AI), Contextual Reliability, Human-centered computing, Collaborative and social computing, UMBC Ebiquity Research Group, Metric, Computation and Language (cs.CL)

    Zugangs-URL: http://arxiv.org/abs/2402.14889

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  18. 18

    A COMPARATIVE SURVEY ON NLP/U METHODOLOGIES FOR PROCESSING MULTI-DOCUMENTS.

    Autoren: MILLS, MICHAEL T. BOURBAKIS, NIKOLAOS G.

    Quelle: International Journal on Artificial Intelligence Tools; Aug2012, Vol. 21 Issue 4, p-1, 32p, 17 Charts

    Schlagwörter: COMPARATIVE studies, METHODOLOGY, INFORMATION technology, REDUNDANCY in engineering, NATURAL language processing, INFORMATION storage & retrieval systems, ARTIFICIAL intelligence

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  19. 19

    Unmaking-with AI: Tactics for Decentering through Design.

    Autoren: Nicenboim, Iohanna Søndergaard, Marie Louise Juul Lindley, Joseph et al.

    Quelle: ACM Transactions on Computer-Human Interaction (TOCHI); Dec2024, Vol. 31 Issue 6, p1-20, 20p

    Schlagwörter: INTERACTION design (Human-computer interaction), HUMAN-computer interaction, LANGUAGE models, NATURAL language processing, ARTIFICIAL intelligence, HOME computer networks, INTELLIGENT personal assistants

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  20. 20

    Special Issue on Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis.

    Autoren: García-Méndez, Silvia de Arriba-Pérez, Francisco Costa-Montenegro, Enrique

    Quelle: Applied Sciences (2076-3417); Jun2025, Vol. 15 Issue 12, p6476, 5p

    Schlagwörter: NATURAL language processing, ARTIFICIAL neural networks, LOW-resource languages, LANGUAGE models, ARTIFICIAL intelligence, SUSTAINABLE tourism, DEEP learning, AFFECTIVE computing

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