id int64 18 21.1k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 16:54:39 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 16:54:39 | doc_name stringclasses 1
value | input stringlengths 11 9.24k | output stringlengths 0 738 | is_personal bool 2
classes | is_sentence bool 2
classes | is_corrected bool 2
classes |
|---|---|---|---|---|---|---|---|---|
10,507 | 2026-02-24T09:57:27.940000Z | 2026-02-24T09:57:27.940000Z | Lec. | Predicting student dropout in self-paced mooc course using random forest model / S | false | false | false | |
10,506 | 2026-02-24T09:57:26.092000Z | 2026-02-24T09:57:26.092000Z | Lec. | Liu [et al.] // Non-coding RNA. – 2024. – Vol. 10. – № 1. 33 | false | true | false | |
10,505 | 2026-02-24T09:57:24.089000Z | 2026-02-24T09:57:24.089000Z | Lec. | HGSMDA: miRNA–Disease Association Prediction Based on HyperGCN and Sørensen-Dice Loss / Z | false | false | false | |
10,504 | 2026-02-24T09:57:22.252000Z | 2026-02-24T09:57:22.252000Z | Lec. | Chen // IEEE Access. – 2020. – Vol. 8. – P. 167939-167949. 32 | false | false | false | |
10,503 | 2026-02-24T09:57:20.395000Z | 2026-02-24T09:57:20.395000Z | Lec. | An improved dice loss for pneumothorax segmentation by mining the information of negative areas / L | false | true | false | |
10,502 | 2026-02-24T09:57:18.375000Z | 2026-02-24T09:57:18.375000Z | Lec. | Maxwell // Remote Sensing. – 2024. – Vol. 16. – № 3. – P. 3-8. 31 | false | false | false | |
10,501 | 2026-02-24T09:57:16.519000Z | 2026-02-24T09:57:16.519000Z | Lec. | Farhadpour, T | true | false | false | |
10,500 | 2026-02-24T09:57:14.971000Z | 2026-02-24T09:57:14.971000Z | Lec. | Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices / S | false | true | false | |
10,499 | 2026-02-24T09:57:13.025000Z | 2026-02-24T09:57:13.025000Z | Lec. | Farhadpour, S | true | false | false | |
10,498 | 2026-02-24T09:57:11.506000Z | 2026-02-24T09:57:11.506000Z | Lec. | Wu [et al.] // Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. – 2022. – Vols. 2022-June. – P. 959-968. 30 | false | false | false | |
10,497 | 2026-02-24T09:57:09.670000Z | 2026-02-24T09:57:09.670000Z | Lec. | Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation / Z | false | false | false | |
10,496 | 2026-02-24T09:57:07.915000Z | 2026-02-24T09:57:07.915000Z | Lec. | Eridani [et al.] // Proceedings - 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2017. – 2017. – Vols. 2018-Janua. – P. 45-49. 29 | false | true | false | |
10,495 | 2026-02-24T09:57:05.878000Z | 2026-02-24T09:57:05.878000Z | Lec. | Prasetijo, R | true | false | false | |
10,494 | 2026-02-24T09:57:03.934000Z | 2026-02-24T09:57:03.934000Z | Lec. | Hoax detection system on Indonesian news sites based on text classification using SVM and SGD / A | false | false | false | |
10,493 | 2026-02-24T09:57:01.487000Z | 2026-02-24T09:57:01.487000Z | Lec. | Jannidis // CEUR Workshop Proceedings. – 2023. – Vol. 3558. – P. 592-615. 28 | false | true | false | |
10,492 | 2026-02-24T09:56:59.721000Z | 2026-02-24T09:56:59.721000Z | Lec. | On Character Perception and Plot Structure of German Romance Novels / L | false | false | false | |
10,491 | 2026-02-24T09:56:58.051000Z | 2026-02-24T09:56:58.051000Z | Lec. | Sugiyama // arXiv. – 2020. – № 2018. – P. 1-20. 27 | false | false | false | |
10,490 | 2026-02-24T09:56:56.337000Z | 2026-02-24T09:56:56.337000Z | Lec. | Stable Weight Decay Regularization / Z | false | false | false | |
10,489 | 2026-02-24T09:56:54.815000Z | 2026-02-24T09:56:54.815000Z | Lec. | Bisallah // International Journal of Information Management Data Insights. – 2023. – Vol. 3. – № 1. – P. 5. 26 | false | true | false | |
10,488 | 2026-02-24T09:56:52.898000Z | 2026-02-24T09:56:52.898000Z | Lec. | Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers / R | false | false | false | |
10,487 | 2026-02-24T09:56:51.007000Z | 2026-02-24T09:56:51.007000Z | Lec. | Shang [et al.] // ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. – 2021. – P. 5146-5157. 25 | false | true | false | |
10,486 | 2026-02-24T09:56:48.960000Z | 2026-02-24T09:56:48.960000Z | Lec. | AutoTinyBERT: Automatic hyper-parameter optimization for efficient pre-trained language models / Y | false | false | false | |
10,485 | 2026-02-24T09:56:47.287000Z | 2026-02-24T09:56:47.287000Z | Lec. | Andrews // Proceedings of the Annual Meeting of the Association for Computational Linguistics. – 2020. – P. 143-155. 24 | false | false | false | |
10,484 | 2026-02-24T09:56:45.379000Z | 2026-02-24T09:56:45.379000Z | Lec. | Compressing BERT: Studying the effects of weight pruning on transfer learning / M | false | false | false | |
10,483 | 2026-02-24T09:56:43.684000Z | 2026-02-24T09:56:43.684000Z | Lec. | Wang [et al.] // Neural Networks. – 2024. – Vol. 173. 23 | false | true | false | |
10,482 | 2026-02-24T09:56:41.495000Z | 2026-02-24T09:56:41.495000Z | Lec. | DDK: Dynamic structure pruning based on differentiable search and recursive knowledge distillation for BERT / Z | false | true | false | |
10,481 | 2026-02-24T09:56:39.596000Z | 2026-02-24T09:56:39.596000Z | Lec. | Crespi // IEEE Access. – 2021. – Vol. 9. – P. 154704-154716. 22 | false | true | false | |
10,480 | 2026-02-24T09:56:37.699000Z | 2026-02-24T09:56:37.699000Z | Lec. | Farahbakhsh, N | true | false | false | |
10,479 | 2026-02-24T09:56:36.161000Z | 2026-02-24T09:56:36.161000Z | Lec. | Rajapaksha, R | false | false | false | |
10,478 | 2026-02-24T09:56:34.609000Z | 2026-02-24T09:56:34.609000Z | Lec. | BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits / P | false | true | false | |
10,477 | 2026-02-24T09:56:32.709000Z | 2026-02-24T09:56:32.709000Z | Lec. | Rajapaksha, P | false | false | false | |
10,476 | 2026-02-24T09:56:31.198000Z | 2026-02-24T09:56:31.198000Z | Lec. | Sulem [et al.] // ACM Computing Surveys. – 2023. – Vol. 56. – № 2. 21 | false | false | false | |
10,475 | 2026-02-24T09:56:29.213000Z | 2026-02-24T09:56:29.213000Z | Lec. | Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey / B | false | true | false | |
10,474 | 2026-02-24T09:56:27.325000Z | 2026-02-24T09:56:27.325000Z | Lec. | Matsuo // Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. – 2021. – P. 4081-4090. 20 | false | true | false | |
10,473 | 2026-02-24T09:56:25.318000Z | 2026-02-24T09:56:25.318000Z | Lec. | Marrese-Taylor, Y | false | false | false | |
10,472 | 2026-02-24T09:56:23.897000Z | 2026-02-24T09:56:23.897000Z | Lec. | Subformer: ExploringWeight Sharing for Parameter Efficiency in Generative Transformers / M | false | false | false | |
10,471 | 2026-02-24T09:56:21.973000Z | 2026-02-24T09:56:21.973000Z | Lec. | Khan // VFAST Transactions on Software Engineering. – 2023. – Vol. 11. – № 3. – P. 62-72. 19 | false | true | false | |
10,470 | 2026-02-24T09:56:20.061000Z | 2026-02-24T09:56:20.061000Z | Lec. | Ali, Muhammad Sohail Khan, M | true | false | false | |
10,469 | 2026-02-24T09:56:18.513000Z | 2026-02-24T09:56:18.513000Z | Lec. | Author Profiling from Short Romanized Urdu Messages: A Preliminary Investigation using Transfer Learning Models / A | false | false | false | |
10,468 | 2026-02-24T09:56:16.687000Z | 2026-02-24T09:56:16.687000Z | Lec. | Unnikrishnan // Results in Engineering. – 2023. – Vol. 17. 18 | false | true | false | |
10,467 | 2026-02-24T09:56:14.805000Z | 2026-02-24T09:56:14.805000Z | Lec. | A comparison of chatbot platforms with the state-of-the-art sentence BERT for answering online student FAQs / K | false | true | false | |
10,466 | 2026-02-24T09:56:13.107000Z | 2026-02-24T09:56:13.107000Z | Lec. | Skadiņš // Applied Sciences (Switzerland). – 2020. – Vol. 10. – № 21. – P. 1-21. 17 | false | true | false | |
10,465 | 2026-02-24T09:56:11.159000Z | 2026-02-24T09:56:11.159000Z | Lec. | Kapočiūtė-Dzikienė, K | true | false | false | |
10,464 | 2026-02-24T09:56:09.653000Z | 2026-02-24T09:56:09.653000Z | Lec. | Intent detection problem solving via automatic DNN hyperparameter optimization / J | false | false | false | |
10,463 | 2026-02-24T09:56:07.628000Z | 2026-02-24T09:56:07.628000Z | Lec. | Kapočiūtė-Dzikienė, J | true | false | false | |
10,462 | 2026-02-24T09:56:06.056000Z | 2026-02-24T09:56:06.056000Z | Lec. | Cardiff // Inventions. – 2023. – Vol. 8. – № 5. 16 | false | true | false | |
10,461 | 2026-02-24T09:56:04.160000Z | 2026-02-24T09:56:04.160000Z | Lec. | Alexandrov, J | true | false | false | |
10,460 | 2026-02-24T09:56:02.634000Z | 2026-02-24T09:56:02.634000Z | Lec. | Shushkevich, M | true | false | false | |
10,459 | 2026-02-24T09:56:01.145000Z | 2026-02-24T09:56:01.145000Z | Lec. | Improving Multiclass Classification of Fake News Using BERT-Based Models and ChatGPT-Augmented Data / E | false | false | false | |
10,458 | 2026-02-24T09:55:59.110000Z | 2026-02-24T09:55:59.110000Z | Lec. | Shushkevich, E | true | false | false | |
10,457 | 2026-02-24T09:55:57.538000Z | 2026-02-24T09:55:57.538000Z | Lec. | Adams Dudley // Journal of Biomedical Informatics. – 2015. – Vol. 54. – P. 114-120. 15 | false | true | false | |
10,456 | 2026-02-24T09:55:55.601000Z | 2026-02-24T09:55:55.601000Z | Lec. | John Boscardin, R | true | true | false | |
10,455 | 2026-02-24T09:55:54.029000Z | 2026-02-24T09:55:54.029000Z | Lec. | Marafino, W | false | false | false | |
10,454 | 2026-02-24T09:55:52.283000Z | 2026-02-24T09:55:52.283000Z | Lec. | Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes / B | false | false | false | |
10,453 | 2026-02-24T09:55:50.138000Z | 2026-02-24T09:55:50.138000Z | Lec. | Marafino, B | false | true | false | |
10,452 | 2026-02-24T09:55:48.555000Z | 2026-02-24T09:55:48.555000Z | Lec. | Emani [et al.]. – 2023. 14 | false | true | false | |
10,451 | 2026-02-24T09:55:46.727000Z | 2026-02-24T09:55:46.727000Z | Lec. | Chitty-Venkata, S | false | true | false | |
10,450 | 2026-02-24T09:55:45.112000Z | 2026-02-24T09:55:45.112000Z | Lec. | Vol. 144 / K | false | false | false | |
10,449 | 2026-02-24T09:55:43.520000Z | 2026-02-24T09:55:43.520000Z | Lec. | A survey of techniques for optimizing transformer inference | false | true | false | |
10,448 | 2026-02-24T09:55:41.805000Z | 2026-02-24T09:55:41.805000Z | Lec. | Abdelgawad // Algorithms. – 2022. – Vol. 15. – № 4. 13 | false | true | false | |
10,447 | 2026-02-24T09:55:39.869000Z | 2026-02-24T09:55:39.869000Z | Lec. | Yanambaka, A | false | false | false | |
10,446 | 2026-02-24T09:55:38.317000Z | 2026-02-24T09:55:38.317000Z | Lec. | Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data / N | false | true | false | |
10,445 | 2026-02-24T09:55:36.630000Z | 2026-02-24T09:55:36.630000Z | Lec. | Naorem // Multimedia Tools and Applications. – 2023. – Vol. 82. – № 1. – P. 945-968. 12 | false | true | false | |
10,444 | 2026-02-24T09:55:34.749000Z | 2026-02-24T09:55:34.749000Z | Lec. | Movie genre classification using binary relevance, label powerset, and machine learning classifiers / S | false | false | false | |
10,443 | 2026-02-24T09:55:32.806000Z | 2026-02-24T09:55:32.806000Z | Lec. | MonkeyLearn. – URL: https://help.monkeylearn.com/en/ (date accessed: 09.05.2025). – Text : electronic. 11 | false | true | false | |
10,442 | 2026-02-24T09:55:30.653000Z | 2026-02-24T09:55:30.653000Z | Lec. | Henke // SN Computer Science. – 2023. – Vol. 4. – № 5. 10 | false | true | false | |
10,441 | 2026-02-24T09:55:28.727000Z | 2026-02-24T09:55:28.727000Z | Lec. | Golimblevskaia, M | true | false | false | |
10,440 | 2026-02-24T09:55:27.141000Z | 2026-02-24T09:55:27.141000Z | Lec. | Ermakova, B | true | false | false | |
10,439 | 2026-02-24T09:55:25.495000Z | 2026-02-24T09:55:25.495000Z | Lec. | A Comparison of Commercial Sentiment Analysis Services / T | false | true | false | |
10,438 | 2026-02-24T09:55:23.790000Z | 2026-02-24T09:55:23.790000Z | Lec. | Toutanova // NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference. – 2019. – Vol. 1. – P. 4171-4186. 9 | false | true | false | |
10,437 | 2026-02-24T09:55:21.866000Z | 2026-02-24T09:55:21.866000Z | Lec. | BERT: Pre-training of deep bidirectional transformers for language understanding / J | false | true | false | |
10,436 | 2026-02-24T09:55:20.065000Z | 2026-02-24T09:55:20.065000Z | Lec. | Lee [et al.] // RecSys 2021 - 15th ACM Conference on Recommender Systems. – 2021. 8 | false | false | false | |
10,435 | 2026-02-24T09:55:18.249000Z | 2026-02-24T09:55:18.249000Z | Lec. | Transformers4Rec: Bridging the Gap between NLP and sequential/session-based recommendation / G | false | true | false | |
10,434 | 2026-02-24T09:55:16.354000Z | 2026-02-24T09:55:16.354000Z | Lec. | Zhang // Applied and Computational Engineering. – 2024. – Vol. 44. – № 1. – P. 56-67. 7 | false | false | false | |
10,433 | 2026-02-24T09:55:14.504000Z | 2026-02-24T09:55:14.504000Z | Lec. | The comparison and analysis of Skip-gram and CBOW in creating financial sentimental dictionary / X | false | true | false | |
10,432 | 2026-02-24T09:55:12.753000Z | 2026-02-24T09:55:12.753000Z | Lec. | Soloveva // 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. – 2020. – P. 1055-1059. 6 | false | true | false | |
10,431 | 2026-02-24T09:55:10.493000Z | 2026-02-24T09:55:10.493000Z | Lec. | SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation / A | false | true | false | |
10,430 | 2026-02-24T09:55:08.542000Z | 2026-02-24T09:55:08.542000Z | Lec. | Soloveva, A | true | false | false | |
10,429 | 2026-02-24T09:55:07.025000Z | 2026-02-24T09:55:07.025000Z | Lec. | Micro, Macro & Weighted Averages of F1 Score, Clearly Explained. 5 | false | true | false | |
10,428 | 2026-02-24T09:55:05.029000Z | 2026-02-24T09:55:05.029000Z | Lec. | Cotterell // Transactions of the Association for Computational Linguistics. – 2020. – Vol. 8. – P. 795-809. 4 | false | true | false | |
10,427 | 2026-02-24T09:55:02.691000Z | 2026-02-24T09:55:02.691000Z | Lec. | Best-first beam search / C | false | true | false | |
10,426 | 2026-02-24T09:55:01.162000Z | 2026-02-24T09:55:01.162000Z | Lec. | Text classification using transformer models / NewTechAudit. – 2022. – Vol. 9. – P. 356-363. 3 | false | false | false | |
10,425 | 2026-02-24T09:54:59.052000Z | 2026-02-24T09:54:59.052000Z | Lec. | NewTechAudit | false | false | false | |
10,424 | 2026-02-24T09:54:57.257000Z | 2026-02-24T09:54:57.257000Z | Lec. | Wang [et al.] // Journal of Biomedical Informatics. – 2020. – Vol. 108. 2 | false | true | false | |
10,423 | 2026-02-24T09:54:55.265000Z | 2026-02-24T09:54:55.265000Z | Lec. | Adversarial active learning for the identification of medical concepts and annotation inconsistency / G | false | false | false | |
10,422 | 2026-02-24T09:54:53.230000Z | 2026-02-24T09:54:53.230000Z | Lec. | Программа отвечает требованиям по качеству и скорости обработки текстов. 1 | false | true | false | |
10,421 | 2026-02-24T09:54:51.432000Z | 2026-02-24T09:54:51.432000Z | Lec. | Создано консольное приложение, которое может работать как с табличными текстами, так и с таблицами в формате excel | false | true | false | |
10,420 | 2026-02-24T09:54:49.684000Z | 2026-02-24T09:54:49.684000Z | Lec. | Для третьего уровня был также проведен подбор всех гиперпараметров, проведена оценка различных характеристик текста на точность классификации | false | true | false | |
10,419 | 2026-02-24T09:54:48.112000Z | 2026-02-24T09:54:48.112000Z | Lec. | Был проведено исследование влияния нормализованных токенов на результаты обучения, которые выявили незначительное ухудшение показателей f1 | false | true | false | |
10,418 | 2026-02-24T09:54:46.349000Z | 2026-02-24T09:54:46.349000Z | Lec. | Найдены наилучшие значения параметров оптимизатора AdamW для различных размеров выборки датасета на втором уровне | false | true | false | |
10,417 | 2026-02-24T09:54:44.681000Z | 2026-02-24T09:54:44.681000Z | Lec. | Была решена проблема несбалансированности данных за счет использования степенной функции потерь с подбором коэффициентов | false | true | false | |
10,416 | 2026-02-24T09:54:43.043000Z | 2026-02-24T09:54:43.043000Z | Lec. | Проведены эксперименты по различным способам обработки данных, в ходе которых выяснилось, что удаление чисел и преобразование формул улучшает результаты предсказаний | false | true | false | |
10,415 | 2026-02-24T09:54:41.298000Z | 2026-02-24T09:54:41.298000Z | Lec. | Был подготовлен алгоритм подготовки данных, включающий в себя лемматизацию и очистку от паразитных слов | false | true | false | |
10,414 | 2026-02-24T09:54:39.485000Z | 2026-02-24T09:54:39.485000Z | Lec. | Создана иерархическая архитектура для на основе моделей BERT и TF–IDF для поэтапной классификации всех уровней ГРНТИ | false | true | false | |
10,413 | 2026-02-24T09:54:37.825000Z | 2026-02-24T09:54:37.825000Z | Lec. | В ходе проведенной работы был разработан классификатор русскоязычных научных статей по всем трем уровням ГРНТИ | false | true | false | |
10,412 | 2026-02-24T09:54:36.175000Z | 2026-02-24T09:54:36.175000Z | Lec. | Анализировались их ключевые характеристики и параметры, а также исследовались подходы к решению задач классификации иерархически организованных данных | false | true | false | |
10,411 | 2026-02-24T09:54:34.404000Z | 2026-02-24T09:54:34.404000Z | Lec. | В данном исследовании были изучены разные методы обработки естественного языка и модели машинного обучения, основанные на архитектуре трансформеров | false | true | false | |
10,410 | 2026-02-24T09:54:32.467000Z | 2026-02-24T09:54:32.467000Z | Lec. | Результат применения программы для файла представлен на рисунке ниже | false | true | false | |
10,409 | 2026-02-24T09:54:30.041000Z | 2026-02-24T09:54:30.041000Z | Lec. | Среднее время работы для одной строки составило 5.2 секунды | false | true | false | |
10,408 | 2026-02-24T09:54:28.330000Z | 2026-02-24T09:54:28.330000Z | Lec. | Пример строки запуска программы: | false | true | false |
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