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LIORI at SemEval-2021 Task 8: Ask Transformer for measurements
P. 1249-1254.
Davletov A., Gordeev D., Nikolay Arefyev, Davletov E.
This work describes our approach for subtasks of SemEval-2021 Task 8: MeasEval: Counts and Measurements which took the official first place in the competition. To solve all subtasks we use multi-task learning in a question-answering-like manner. We also use learnable scalar weights to weight subtasks’ contribution to the final loss in multi-task training. We fine-tune LUKE to extract quantity spans and we fine-tune RoBERTa to extract everything related to found quantities, including quantities themselves.
Publication based on the results of:
In book
Association for Computational Linguistics, 2021
Association for Computational Linguistics, 2022
Uncertainty estimation (UE) of model predictions is a crucial step for a variety of tasks such as active learning, misclassification detection, adversarial attack detection, out-of-distribution detection, etc. Most of the works on modeling the uncertainty of deep neural networks evaluate these methods on image classification tasks. Little attention has been paid to UE in natural ...
Added: May 17, 2022
Samenko I., Tikhonov A., Kozlovskii B. et al., / Cornell University. Series Computer Science "arxiv.org". 2021.
Transformers are responsible for the vast majority of recent advances in natural language processing. The majority of practical natural language processing applications of these models is typically enabled through transfer learning. This paper studies if corpus-specific tokenization used for fine-tuning improves the resulting performance of the model. Through a series of experiments, we demonstrate that ...
Added: January 17, 2022
Alimova I., Tutubalina E., Nikolenko S. I., IEEE Access 2022 Vol. 10 P. 1432-1439
Relation extraction (RE) aims to extract relational facts from plain text, which is essential to the biomedical research field with the rapid growth of biomedical literature and generally large volumes of biomedicine-related text coming from various sources. Numerous annotated corpora and state-of-the-art models have been introduced in the past five years. However, there are no ...
Added: April 10, 2023
Knyaginina N., Jankiewicz S., Tikhonov E., Вопросы государственного и муниципального управления 2022 № 1 С. 78-100
Now Russia is undergoing a reform of the control and supervisory activity of the “regulatory guillotine”, which is designed to signifi cantly reduce the number of mandatory requirements in the legislation, leaving only those that are necessary and should be controlled among them. In the presented article, the principles of this reform are applied to the Federal State Educational Standards (FSES). Russian legislation understands the quality of education ...
Added: April 6, 2022
Switzerland : Springer, 2015
This book constitutes the refereed proceedings of the 6th Conference on Knowledge Engineering and the Semantic Web, KESW 2015, held in Moscow, Russia, in September/October 2015. The 17 revised full papers presented together with 6 short system descriptions were carefully reviewed and selected from 35 submissions. The papers address research issues related to semantic web, ...
Added: September 16, 2015
Северина Е. М., Ларионова М. Ч., Litera 2023 № 10 С. 211-222
The article considers a model of preparation of machine-readable (semantic) markup of texts for the Chekhov Digital project on the example of philological interpretation of individual significant elements of A. P. Chekhov's story "Death of an Official" and presentation of this information explicitly based on the standards of digital publication Text Encoding Initiative (TEI/XML). Based ...
Added: January 12, 2024
Karpov N., В кн. : Современные проблемы информатизации в анализе и синтезе технологических и программно-телекоммуникационных систем: Сборник трудов. Вып. 17.: Воронеж : Научная книга, 2012. С. 264-266.
Added: November 7, 2012
Chernyavskiy A., Ilvovsky D., Nakov P., , in : Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings,. * 3.: Springer, 2021. P. 677-693.
Added: November 12, 2021
М. : Издательский центр «Российский государственный гуманитарный университет», 2019
The book includes 64 papers submitted to the International conference in computer linguistics and intellectual technologies Dialogue 2019 and presents a broad spectrum of theoretical and applied research of natural language description, language simulation, and creation of applied computer technologies. ...
Added: October 16, 2019
Baklanova V., Kurkin A., Teplova T., China Finance Review International 2023
Purpose – The primary objective of this research is to provide a precise interpretation of the constructed
machine learning model and produce definitive summaries that can evaluate the influence of investor sentiment on the overall sales of non-fungible token (NFT) assets. To achieve this objective, the NFT hype
index was constructed as well as several approaches of ...
Added: December 10, 2023
Ivan P. Yamshchikov, Shibaev V., Nagaev A. et al., , in : Proceedings of the 3rd Workshop on Neural Generation and Translation. : Association for Computational Linguistics, 2019. P. 128-137.
This paper focuses on latent representations that could effectively decompose different aspects of textual information. Using a framework of style transfer for texts, we propose several empirical methods to assess information decomposition quality. We validate these methods with several state-of-the-art textual style transfer methods. Higher quality of information decomposition corresponds to higher performance in terms ...
Added: January 7, 2021
Razzhigaev A., Nikolay Arefyev, Panchenko A., , in : Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). : Association for Computational Linguistics, 2021. P. 157-162.
In this paper, we present a system for the solution of the cross-lingual and multilingual word-in-context disambiguation task. Task organizers provided monolingual data in several languages, but no cross-lingual training data were available. To address the lack of the officially provided cross-lingual training data, we decided to generate such data ourselves. We describe a simple ...
Added: September 23, 2021
I. K. Kusakin, Fedorets O. V., A. Y. Romanov, Scientific and Technical Information Processing 2023 Vol. 50 No. 3 P. 176-183
This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper clas- sification, and training of linguistic model BERT ...
Added: November 4, 2023
Springer, 2021
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021.
The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
Association for Computational Linguistics, 2019
Added: September 15, 2020
Tikhonova M., Elina Telesheva, Mirzoev S. et al., , in : 2021 International Conference Engineering and Telecommunication (En&T). : IEEE, 2022. P. 1-6.
Style transfer is an important and a rapidly developing of Natural Language Processing. This days more and more methods and models are proposed which allow us to generate text in predefined style. In this paper we propose a framework for style transfer of “Friends” TV series. The trained models are able to mimic one of ...
Added: May 21, 2022
P. : European Language Resources Association (ELRA), 2018
Book of abstracts from the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) ...
Added: May 5, 2018
Zakhlebin I. V., В кн. : Электронный бизнес. Управление интернет-проектами. Инновации: Сборник трудов участников студенческой научно-практической конференции, Москва, 12-14 марта 2013 г. : М. : НИУ ВШЭ, 2014. С. 88-91.
The report deals with the methodology of building a system to perform search for specialists satisfying a defined set of competencies. The proposed search method is based on natural language texts analysis. ...
Added: July 11, 2015
Durandin O., Malafeev A., Zolotykh N., , in : Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers. Vol. 10716.: Cham : Springer, 2018. Ch. 4. P. 34-46.
The paper deals with Google’s universal parser SyntaxNet. The system was used to analyze the Universal Dependencies linguistic corpora. We conducted an error analysis of the output of the parser to reveal to what extent the error types are connected with or preconditioned by the language types. In particular, we carried out several experiments, clustering ...
Added: December 1, 2017
Фирсанова В. И., International Journal of Open Information Technologies 2021 Vol. 9 No. 12 P. 53-59
The paper presents a study on question answering systems evaluation. The purpose of the study is to determine if human evaluation is indeed necessary to qualitatively measure the performance of a sociomedical dialogue system. The study is based on the data from several natural language processing experiments conducted with a question answering dataset for inclusion of people with autism spectrum disorder and state-of-the-art ...
Added: September 25, 2023
Berlin : Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Alimova l., Tutubalina E., Journal of Biomedical Informatics 2020 Vol. 103 P. 1-9
Relation extraction aims to discover relational facts about entity mentions from plain texts. In this work, we focus on clinical relation extraction; namely, given a medical record with mentions of drugs and their attributes, we identify relations between these entities. We propose a machine learning model with a novel set of knowledge-based and BioSentVec embedding ...
Added: October 28, 2020
Luparov A., Panov A. I., Suvorov R. et al., , in : Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods. Vol. 2.: SciTePress, 2015. P. 270-276.
Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the ...
Added: November 20, 2015
Golovanov S., Tselousov A., Rauf Kurbanov et al., , in : The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations. : Springer, 2020. P. 295-315.
Added: February 20, 2021