Results 41 to 50 of about 178,621 (298)
Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm
Моделирование и анализ информационных систем, 2022 The article investigates modern vector text models for solving the problem of genre classification of Russian-language texts. Models include ELMo embeddings, BERT language model with pre-training and a complex of numerical rhythm features based on lexico-
Ksenia Vladimirovna Lagutina
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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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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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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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ABB-BERT: A BERT model for disambiguating abbreviations and contractions
CoRR, 2022 Abbreviations and contractions are commonly found in text across different domains. For example, doctors' notes contain many contractions that can be personalized based on their choices. Existing spelling correction models are not suitable to handle expansions because of many reductions of characters in words.
Prateek Kacker +3 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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The birth of Romanian BERT [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 5 pages (4 + reference page), accepted in Findings of EMNLP ...
Stefan Daniel Dumitrescu +2 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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