Výsledky vyhledávání - "Computing methodologies Artificial intelligence Natural language processing"

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

Autoři: Rawsthorne, Helen Abadie, Nathalie Kergosien, Eric a další

Přispěvatelé: Rawsthorne, Helen Abadie, Nathalie Kergosien, Eric a další

Zdroj: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities. :21-30

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

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04294222v1/document
https://hal.science/hal-04294222v1
https://doi.org/10.1145/3615887.3627754

TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs

Autoři: Sun, Qiang Li, Sirui Huynh, Du a další

Témata: Computing methodologies -- Artificial intelligence -- Knowledge representation and reasoning -- Ontology engineering, Computing methodologies -- Artificial intelligence -- Knowledge representation and reasoning -- Semantic networks, Computing methodologies -- Artificial intelligence -- Natural language processing -- Information extraction

Relation: ispartof: Companion Proceedings of the ACM on Web Conference 2025 spage 797 epage 800; 991005792772907891; alma:61MUN_INST/bibs/991005792772907891

Dostupnost: https://doi.org/10.1145/3701716.3715308
https://researchportal.murdoch.edu.au/esploro/outputs/conferenceProceeding/TimelineKGQA-A-Comprehensive-Question-Answer-Pair-Generator/991005792772907891

Identifying Earmarks in Congressional Bills

Autoři: Mullane, Marianne J Barnett, Timothy C. Cannon, Jeffrey W. a další

Témata: Computing methodologies -- Artificial intelligence -- Natural language processing, Computing methodologies -- Machine learning -- Learning paradigms -- Supervised learning, Information systems -- Information retrieval -- Retrieval tasks and goals -- Information extraction

Relation: ispartof: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining spage 303 epage 311; WOS:000485529800037; 991005637963707891; alma:61MUN_INST/bibs/991005637963707891

Dostupnost: https://doi.org/10.1145/2939672.2939711
https://researchportal.murdoch.edu.au/esploro/outputs/conferenceProceeding/Identifying-Earmarks-in-Congressional-Bills/991005637963707891

S³ Agent: Unlocking the Power of VLLM for Zero-Shot Multi-Modal Sarcasm Detection.

Autoři: Wang, Peng Zhang, Yongheng Fei, Hao a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Nov2025, Vol. 21 Issue 11, p1-16, 16p

A Survey on the Recent Advancements in Human-Centered Dialog Systems.

Autoři: Oruche, Roland Goruganthu, Sai Keerthana Akula, Rithika a další

Zdroj: ACM Computing Surveys; Oct2025, Vol. 57 Issue 10, p1-36, 36p

Témata: ARTIFICIAL intelligence, LANGUAGE models, NATURAL language processing, AFFECTIVE computing, REINFORCEMENT learning, MACHINE translating, CHATBOTS

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.

Autoři: Shorinwa, Ola Mei, Zhiting Lidard, Justin a další

Zdroj: ACM Computing Surveys; Mar2026, Vol. 58 Issue 3, p1-38, 38p

Témata: LANGUAGE models, STOCHASTIC analysis, INQUIRY (Theory of knowledge)

Fake news detection: deep semantic representation with enhanced feature engineering.

Autoři: Samadi, Mohammadreza Momtazi, Saeedeh

Zdroj: International Journal of Data Science & Analytics; Aug2025, Vol. 20 Issue 2, p325-336, 12p

Morescient GAI for Software Engineering.

Autoři: Kessel, Marcus Atkinson, Colin

Zdroj: ACM Transactions on Software Engineering & Methodology; Jun2025, Vol. 34 Issue 5, p1-17, 17p

Témata: GENERATIVE artificial intelligence, OPEN scholarship, TRUST, COMPUTER software, SEMANTICS

Using Large Language Models for Armchair Auditors.

Autoři: O'leary, Daniel E.

Zdroj: Digital Government: Research & Practice; Jun2025, Vol. 6 Issue 2, p1-13, 13p

Témata: LANGUAGE models, LIBRARY design & construction, CHATGPT, ARMCHAIRS, AUDITORS

Decomposed Prototype Learning for Few-Shot Scene Graph Generation.

Autoři: Li, Xingchen Xiao, Jun Chen, Guikun a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Jan2025, Vol. 21 Issue 1, p1-24, 24p

Témata: POLYSEMY, PROTOTYPES, ANNOTATIONS

Improving Reference-Based Distinctive Image Captioning with Contrastive Rewards.

Autoři: Mao, Yangjun Xiao, Jun Zhang, Dong a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Dec2024, Vol. 20 Issue 12, p1-24, 24p

Témata: LEARNING modules, BATHROOMS, TOILETS, TOWELS

A Segment Augmentation and Prediction Consistency Framework for Multi-label Unknown Intent Detection.

Autoři: Yang, Jiacheng Chen, Miaoxin Liu, Cao a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Nov2024, Vol. 18 Issue 9, p1-18, 18p

Témata: NATURAL languages, FORECASTING, ENCODING

Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks.

Autoři: La Quatra, Moreno Gallipoli, Giuseppe Cagliero, Luca

Zdroj: ACM Transactions on Intelligent Systems & Technology; Oct2024, Vol. 15 Issue 5, p1-38, 38p

Témata: LANGUAGE models, GENERATIVE adversarial networks

Deep Multimodal Data Fusion.

Autoři: Zhao, Fei Zhang, Chengcui Geng, Baocheng

Zdroj: ACM Computing Surveys; Sep2024, Vol. 56 Issue 9, p1-36, 36p

Témata: ARTIFICIAL neural networks, NATURAL language processing, PATTERN recognition systems, GRAPH neural networks, ARTIFICIAL intelligence, DEEP learning

E-Commerce Fake Reviews Detection Using LSTM with Word2Vec Embedding.

Autoři: Raheem, Mafas Yi Chien Chong

Zdroj: Journal of Computing & Information Technology; Jun2024, Vol. 32 Issue 2, p65-80, 16p

Témata: ONLINE shopping, OPTIMAL stopping (Mathematical statistics), VECTOR data, CONSUMERS' reviews, CONSUMERS, DEEP learning

A Brief Survey on Safety of Large Language Models.

Autoři: Zhengjie Gao Xuanzi Liu Yuanshuai Lan a další

Zdroj: Journal of Computing & Information Technology; Mar2024, Vol. 32 Issue 1, p47-64, 18p

Témata: LANGUAGE models, TEXT summarization, HALLUCINATIONS (Artificial intelligence), NATURAL language processing, CHATBOTS, INDUSTRIAL safety, RESEARCH personnel

Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges.

Autoři: DAS, RINGKI SINGH, THOUDAM DOREN

Zdroj: ACM Computing Surveys; 2023 Suppl13s, Vol. 55, p1-38, 38p

Témata: SENTIMENT analysis, NATURAL language processing, USER-generated content, ELECTRIC transformers, TASK analysis

Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better.

Autoři: MENGHANI, GAURAV

Zdroj: ACM Computing Surveys; Dec2023, Vol. 55 Issue 12, p1-37, 37p, 1 Illustration

Témata: DEEP learning, COMPUTER vision, SPEECH perception, VISUAL fields, ARTIFICIAL intelligence, NATURAL languages

Negative Emotion Recognition Algorithm of Network Catchwords Based on Language Feature Dimension.

Autoři: Min Wang Tian Chen Yanjun Xiao

Zdroj: Journal of Computing & Information Technology; Dec2022, Vol. 30 Issue 4, p275-289, 15p

Témata: EMOTION recognition, GAUSSIAN mixture models, BOLTZMANN machine, BACK propagation, ALGORITHMS

Citizen Participation and Machine Learning for a Better Democracy

Autoři: Procter, R Arana-Catania, M van Lier, F-A a další

Zdroj: Digital Government: Research and Practice. 2:1-22

Témata: JF, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, 05 social sciences, 16. Peace & justice, QA76, Machine Learning (cs.LG), 12. Responsible consumption, 0506 political science, Computer Science - Computers and Society, Computers and Society (cs.CY), 11. Sustainability, Computation and Language (cs.CL)

Popis souboru: application/pdf

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3452118
http://arxiv.org/abs/2103.00508
http://wrap.warwick.ac.uk/152058/13/WRAP-citizen-participation-machine-learning-better-democracy-Procter-2021.pdf
https://dblp.uni-trier.de/db/journals/corr/corr2103.html#abs-2103-00508
https://doi.org/10.1145/3452118
http://wrap.warwick.ac.uk/152058/
https://dl.acm.org/doi/pdf/10.1145/3452118
https://dl.acm.org/doi/10.1145/3452118
http://doi.org/10.1145/3452118
https://arxiv.org/pdf/2103.00508
http://ui.adsabs.harvard.edu/abs/2021arXiv210300508A/abstract
https://arxiv.org/abs/2103.00508