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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...81 Hits 1 – 20 of 1.603 1 Learning and controlling the source-filter representation of speech with a variational autoencoder Sadok, Samir; Leglaive, Simon; Girin, Laurent... In: https://hal.archives-ouvertes.fr/hal-03650569 ; 2022 (2022) BASE Show details 2 Genetic Neural Architecture Search for automatic assessment of human sperm images Miahi, Erfan; Mirroshandel, Seyedabolghasem; Nasr, Alexis In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022) BASE Show details 3 Unsupervised quantification of entity consistency between photos and text in real-world news ... Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022 BASE Show details 4 Multi language Email Classification Using Transfer learning Sousa, Mário Jorge Carvalho de. - 2022 BASE Show details 5 Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Mamidi, Radhika; Pant, Kartikey. - : Underline Science Inc., 2022 BASE Show details 6 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 BASE Show details 7 Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian Rosario Catelli; Serena Pelosi; Massimo Esposito In: Electronics; Volume 11; Issue 3; Pages: 374 (2022) BASE Show details 8 COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset Aijaz Ahmad Reshi; Furqan Rustam; Wajdi Aljedaani; Shabana Shafi; Abdulaziz Alhossan; Ziyad Alrabiah; Ajaz Ahmad; Hessa Alsuwailem; Thamer A. Almangour; Musaad A. Alshammari; Ernesto Lee; Imran Ashraf In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022) BASE Show details 9 A Novel Pathological Voice Identification Technique through Simulated Cochlear Implant Processing Systems Rumana Islam; Esam Abdel-Raheem; Mohammed Tarique In: Applied Sciences; Volume 12; Issue 5; Pages: 2398 (2022) BASE Show details 10 Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning Seungwon Jeong; Dongsuk Oh; Kinam Park; Heuiseok Lim In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022) Abstract: Unlike previous dialogue-based question-answering (QA) datasets, DREAM, multiple-choice Dialogue-based REAding comprehension exaMination dataset, requires a deep understanding of dialogue. Many problems require multi-sentence reasoning, whereas some require commonsense reasoning. However, most pre-trained language models (PTLMs) do not consider commonsense. In addition, because the maximum number of tokens that a language model (LM) can deal with is limited, the entire dialogue history cannot be included. The resulting information loss has an adverse effect on performance. To address these problems, we propose a Dialogue-based QA model with Common-sense Reasoning (DQACR), a language model that exploits Semantic Search and continual learning. We used Semantic Search to complement information loss from truncated dialogue. In addition, we used Semantic Search and continual learning to improve the PTLM’s commonsense reasoning. Our model achieves an improvement of approximately 1.5% over the baseline method and can thus facilitate QA-related tasks. It contributes toward not only dialogue-based QA tasks but also another form of QA datasets for future tasks. Keyword: commonsense reasoning; deep learning; dialogue-based multiple-choice QA; pre-trained language models; semantic search URL: https://doi.org/10.3390/app12094099 BASE Hide details 11 Multimodal Lip-Reading for Tracheostomy Patients in the Greek Language Yorghos Voutos; Georgios Drakopoulos; Georgios Chrysovitsiotis; Zoi Zachou; Dimitris Kikidis; Efthymios Kyrodimos; Themis Exarchos In: Computers; Volume 11; Issue 3; Pages: 34 (2022) BASE Show details 12 Identifying Learners’ Interaction Patterns in an Online Learning Community Xuemei Wu; Zhenzhen He; Mingxi Li; Zhongmei Han; Changqin Huang In: International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2245 (2022) BASE Show details 13 Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models Alexander Sboev; Sanna Sboeva; Ivan Moloshnikov; Artem Gryaznov; Roman Rybka; Alexander Naumov; Anton Selivanov; Gleb Rylkov; Vyacheslav Ilyin In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022) BASE Show details 14 An Evolution Gaining Momentum—The Growing Role of Artificial Intelligence in the Diagnosis and Treatment of Spinal Diseases Andre Wirries; Florian Geiger; Ludwig Oberkircher; Samir Jabari In: Diagnostics; Volume 12; Issue 4; Pages: 836 (2022) BASE Show details 15 Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going? Radu-Alexandru Vulpoi; Mihaela Luca; Adrian Ciobanu; Andrei Olteanu; Oana-Bogdana Barboi; Vasile Liviu Drug In: Diagnostics; Volume 12; Issue 4; Pages: 927 (2022) BASE Show details 16 Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model Chia-Hsien Weng; Kuan-Cheng Lin; Jia-Ching Ying In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022) BASE Show details 17 Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages Ivan S. Blekanov; Nikita Tarasov; Svetlana S. Bodrunova In: Future Internet; Volume 14; Issue 3; Pages: 69 (2022) BASE Show details 18 The Sustainable Development of Intangible Cultural Heritage with AI: Cantonese Opera Singing Genre Classification Based on CoGCNet Model in China Qiao Chen; Wenfeng Zhao; Qin Wang; Yawen Zhao In: Sustainability; Volume 14; Issue 5; Pages: 2923 (2022) BASE Show details 19 Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review Athanasios G. Pantelis; Panagiota A. Panagopoulou; Dimitris P. Lapatsanis In: Diagnostics; Volume 12; Issue 4; Pages: 874 (2022) BASE Show details 20 Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks Jiawei Li; Zhidong Zhang; Xiaolong Zhu; Yunlong Zhao; Yuhang Ma; Junbin Zang; Bo Li; Xiyuan Cao; Chenyang Xue In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022) BASE Show details Page: 1 2 3 4 5...81

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