On Computational Hardness of Multidimensional Subtraction Games
Algorithms, 2021 We study the algorithmic complexity of solving subtraction games in a fixed dimension with a finite difference set. We prove that there exists a game in this class such that solving the game is EXP-complete and requires time 2Ω(n), where n is the input ...
Vladimir Gurvich, Mikhail Vyalyi
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The effect of visual teaching method using PowerPoint, video and photo based on educational management model on conceptual learning [PDF]
مدیریت و چشم انداز آموزش, 2021 The aim of this study was how to determine the effectiveness of visual teaching method using PowerPoint, video and photos and based on the educational management model on students' conceptual learning.
ebrahim khashi jamalzehi
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Detecting Controversial Articles on Citizen Journalism
Jurnal Ilmu Komputer dan Informasi, 2018 Someone's understanding and stance on a particular controversial topic can be influenced by daily news or articles he consume everyday. Unfortunately, readers usually do not realize that they are reading controversial articles.
Alfan Farizki Wicaksono +2 more
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Neural Coreference Resolution for Dutch Parliamentary Documents with the DutchParliament Dataset
Data, 2023 The task of coreference resolution concerns the clustering of words and phrases referring to the same entity in text, either in the same document or across multiple documents.
Ruben van Heusden +2 more
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Evaluating Multimedia and Language Tasks
Frontiers in Artificial Intelligence, 2020 Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989.
Ian Soboroff +5 more
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Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
BMC Bioinformatics, 2018 Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta +4 more
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Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Sensors, 2022 We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images.
Zhaohui Liang +2 more
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Multilingual multi-aspect explainability analyses on machine reading comprehension models
iScience, 2022 Summary: Achieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs).
Yiming Cui +5 more
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Designing an Open Source Virtual Assistant
Proceedings, 2020 A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most important mobile and desktop platforms.
Anxo Pérez +2 more
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Learning Multi-Domain Adversarial Neural Networks for Text Classification
IEEE Access, 2019 Deep neural networks have been applied to learn transferable features for adapting text classification models from a source domain to a target domain. Conventional domain adaptation used to adapt models from an individual specific domain with sufficient ...
Xiao Ding +5 more
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