Results 41 to 50 of about 8,388 (214)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Someone's opinion on a product or service that is poured through a review is something that is quite important for the owner or potential customer. However, the large number of reviews makes it difficult for them to analyze the information contained in ...
Putri Rizki Amalia, Edi Winarko
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KG-BERT: BERT for Knowledge Graph Completion
CoRR, 2019 Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness. In this work, we propose to use pre-trained language models for knowledge graph completion. We treat triples in knowledge graphs as textual sequences and propose a novel framework named Knowledge Graph Bidirectional Encoder ...
Liang Yao, Chengsheng Mao, Yuan Luo 0001
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BERT-CoQAC: BERT-Based Conversational Question Answering in Context [PDF]
, 2021 As one promising way to inquire about any particular information through a dialog with the bot, question answering dialog systems have gained increasing research interests recently. Designing interactive QA systems has always been a challenging task in natural language processing and used as a benchmark to evaluate a machine's ability of natural ...
Munazza Zaib +5 more
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Connection Science, 2022 Aspect-level sentiment classification, a significant task of fine-grained sentiment analysis, aims to identify the sentimental information expressed in each aspect of a given sentence The existing methods combine global features and local structures to ...
Subo Wei +4 more
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Neural Language Models for Nineteenth-Century English
Journal of Open Humanities Data, 2021 We present four types of neural language models trained on a large historical dataset of books in English, published between 1760 and 1900, and comprised of ≈5.1 billion tokens.
Kasra Hosseini +3 more
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BMJ Open Diabetes Research & Care, 2019 Objective While extensive research revealed that interleukin (IL)-1β contributes to insulin resistance (IR) development, the role of IL-1α in obesity and IR was scarcely studied.
Tal Almog +13 more
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MaterialBERT for natural language processing of materials science texts
Science and Technology of Advanced Materials: Methods, 2022 A BERT (Bidirectional Encoder Representations from Transformers) model, which we named “MaterialBERT”, has been generated using scientific papers in wide area of material science as a corpus.
Michiko Yoshitake +3 more
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Sentiment Analysis of Twitter's Opinion on The Russia and Ukraine War Using Bert
Jurnal Riset Informatika, 2022 News about the war that took place between Russia and Ukraine can not be denied affecting various aspects of life in the world. This affects the writings of every citizen of the world on various social media platforms, one of which is Twitter.
Muhammad Fahmi Julianto +2 more
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Micron-BERT: BERT-Based Facial Micro-Expression Recognition
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief period, i.e., 0.25 to 0.5 seconds. Recent advances in pre-training deep Bidirectional Transformers (BERT) have significantly improved self-supervised learning tasks in computer
Xuan-Bac Nguyen +5 more
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