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Разработка модели предсказания интенции комментария на основе глубокой нейронной сети
С. 133-139.
Demidovskij A.
In book
Н. Новгород : НИУ ВШЭ, 2017
Baklanov A., Khachay M., Pasynkov M., , in : Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179.: Berlin : Springer, 2018. P. 155-167.
This research is motivated by sustainability problems of oil palm expansion. Fast-growing industrial Oil Palm Plantations (OPPs) in the tropical belt of Africa, Southeast Asia and parts of Brazil lead to significant loss of rainforest and contribute to the global warming by the corresponding decrease of carbon dioxide absorption. We propose a novel approach to ...
Added: January 23, 2019
Sibirtseva V., Karpov N., / Издательский дом НИУ ВШЭ. Series WP "Working Papers of Humanities". 2012. No. 2012-6.
The paper considers the features of selecting the teaching illustrative material for the theoretical part of a multimedia textbook on Russian as a foreign language, and describes the peculiarities of compiling a set of exercises on the basis of the National Corpus of the Russian Language. The author(s) analysed in detail the difficulties caused by ...
Added: November 8, 2012
Marseille : European Language Resources Association (ELRA), 2022
The proceedings are organised on the basis of the 22 Tracks of the Conference on Language Resources and Evaluation (LREC) held in Marseille, France, from 20 to 25 June 2022. Major topics include corpora and annotation (including tools, systems, treebanks), information extraction and information retrieval (including ner, qa, text mining, document classification, text categorisation), applications involving lrs and evaluation (including ...
Added: February 22, 2023
Khomutov E., Arzymatov K., Shchur V., Journal of Physics: Conference Series 2021 Vol. 1740 Article 012031
Demographic and population structure inference is one of the most important problems in genomics. Population parameters such as effective population sizes, population split times and migration rates are of high interest both themselves and for many applications, e.g. for genome-wide association studies. Hidden Markov Model (HMM) based methods, such as PSMC, MSMC, coalHMM etc., proved ...
Added: May 17, 2021
Fomichov V. A., , in : Database and Expert Systems Applications, 25th International Conference, DEXA 2014, Munich, Germany, September 1-4, 2014, Proceedings. * 1. Issue LNCS 8644.: Cham : Springer, 2014. P. 394-401.
The paper proposes a workable solution to the problem of constructing a comprehensive semantic formal environment (CSFE) for developing a Multilingual Semantic Web. It is to be a collection of the rules enabling us to construct step by step a semantic representation (or text meaning representation) of practically arbitrary sentence or discourse pertaining to mass ...
Added: November 25, 2014
М. : МФТИ, 2019
Сборник научных трудов содержит доклады, включенные в программу XXI Международной научно-технической конференции «НЕЙРОИНФОРМАТИКА-2019», проходившей в г. Москве 7–11 октября 2019 г. Тематика конференции охватывает широкий круг вопросов: искусственный интеллект, глубокое обучение, когнитивные науки и интерфейс «мозг-компьютер», методические вопросы нейроинформатики, теории нейронных сетей, нейробиологии, модели адаптивного поведения и когнитивные исследования, нейросетевые парадигмы и приложения нейроинформатики. ...
Added: November 19, 2019
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
Kutuzov A. B., Kuzmenko E., Marakasova A., , in : Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH). : Osaka : [б.и.], 2016. P. 26-34.
We present an approach to detect differences in lexical semantics across English language registers, using word embedding models from distributional semantics paradigm. Models trained on register-specific subcorpora of the BNC corpus are employed to compare lists of nearest associates for particular words and draw conclusions about their semantic shifts depending on register in which they ...
Added: November 12, 2016
Romanova T. V., В кн. : Социальные варианты языка – V: Материалы международной научной конференции 19-20 апреля 2007. : Н. Новгород : Нижегородский государственный лингвистический университет им. Н.А. Добролюбова, 2007. С. 11-15.
Политические тексты и тексты СМИ интерпретируются с помощью контент-, интент-, дискурс-анализа. ...
Added: August 23, 2012
Kirill Maslinsky, , in : TALN-RECITAL 2014 Workshop TALAf 2014 : Traitement Automatique des Langues Africaines (TALAf 2014: African Language Processing). : Marseille : Association pour le Traitement Automatique des Langues, 2014. P. 114-122.
This article provides a brief overview of Daba software package created in the course of building corpora for Manding languages. Key software features are motivated by the tasks and problems characteristic of many African languages. The corpus-building model proposed here was initially developed for Bambara Reference Corpus which is available online and is freely accessible. ...
Added: March 26, 2015
Kirina M., Человек: образ и сущность. Гуманитарные аспекты 2023
The article focuses on the application of opinion mining techniques to evaluate user experience on the Hyperskill educational platform, using Python, Java, and Kotlin programming projects as the basis of analysis. The study utilizes sentiment analysis and keyword extraction methods to gauge users' attitudes towards the platform, learning process, and topics covered. To achieve this, ...
Added: December 9, 2023
NY : 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 4, 2014
Piscataway : IEEE, 2020
2020 International Joint Conference on Neural Networks (IJCNN) held virtually, as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. IJCNN 2020 is jointly organized by the IEEE Computational Intelligence Society (CIS) and the International Neural Network Society (INNS). For IJCNN 2020 (and when WCCI is organized in even-numbered years) IEEE CIS ...
Added: October 15, 2020
Romanova T. V., В кн. : Язык. Текст. Дискурс. Научный альманах Ставропольского отделения РАЛК. Вып. 5.: Ставрополь : Пятигорский государственный лингвистический университет, 2007. С. 164-176.
Рассмотрены основные тенденции современной политической коммуникации. ...
Added: August 2, 2012
Trnavac R., Poldvere N., Corpus Pragmatics 2024
The present corpus study, which is grounded in Appraisal Theory, investigates evaluative language use in fake news in English. The primary aim is to find out how and why, if at all, evaluative meanings are construed differently in fake news compared to genuine news. The secondary aim is to explore potential differences between types of ...
Added: October 26, 2023
Kutuzov A. B., Никишина И. А., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Lecture Notes in Computer Science, Revised Selected Papers. Vol. 11832.: Cham : Springer, 2019. P. 3-8.
Double-blind peer reviewing has been proved to be a pretty effective and fair way of academic work selection. However, to the best of our knowledge, nobody has yet analysed the effects caused by its introduction at the Russian NLP conferences. We investigate how the double-blind peer reviewing influences gender and location (according to authors’ affiliations) ...
Added: January 20, 2020
Zhevnenko D., Kazantsev M., Makarov I., Journal of Industrial Information Integration 2023 Vol. 33 Article 100444
The paper deals with the problem of controlling the state of industrial devices according to the readings of their sensors. The current methods are based on an approach to feature extraction in which the prediction occurs. We propose an interaction method of multiple blocks of different complexity, which aggregate information differently over time, to create ...
Added: February 15, 2024
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Braslavski P. undefined., Markov I., Pardalos P. M. et al., ACM SIGIR Forum 2016 Vol. 49 No. 2 P. 72-79
This paper provides the reader with a report on 9th Russian Summer School in Information Retrieval (RuSSIR 2015). ...
Added: February 27, 2017
Maksim Golyadkin, Gambashidze A., Nurgaliev I. et al., IEEE Access 2024 Vol. 12 P. 3805-3814
In response to the growing demand for 3D object detection in applications such as autonomous driving, robotics, and augmented reality, this work focuses on the evaluation of semi-supervised learning approaches for point cloud data. The point cloud representation provides reliable and consistent observations regardless of lighting conditions, thanks to advances in LiDAR sensors. Data annotation ...
Added: March 13, 2024
Rukhovich D., Koroleva P., Rukhovich D. et al., Remote Sensing 2022 Vol. 14 No. 9 Article 2224
The detection of degraded soil distribution areas is an urgent task. It is difficult and very time consuming to solve this problem using ground methods. The modeling of degradation processes based on digital elevation models makes it possible to construct maps of potential degradation, which may differ from the actual spatial distribution of degradation. The ...
Added: November 14, 2022
Andrey Okhotin, Dmitry Molchanov, Arkhipkin V. et al., , in : Advances in Neural Information Processing Systems 36 (NeurIPS 2023). : Curran Associates, Inc., 2023. P. 10038-10067.
Added: February 15, 2024
Попова А. С., Рассадин А. Г., Пономаренко А. А., В кн. : Материалы XXIV международной научно-технической конференции «Информационные системы и технологии-2018. : [б.и.], 2018. С. 1083-1089.
Рассматривается задача автоматической классификации эмоций в цифровом аудио сигнале. В работе рассматривается и верифицируется подход, в котором классификация звукового фрагмента производится с помощью рекуррентной нейронной сети c долговременно-кратковременной памятью. В качестве признаков использовались мел-кепстральные коэффициенты. Произведен численный эксперимент на открытом наборе данных Ravdess, включающий 8 различных эмоций: “нейтральный”, “спокойный”, “счастливый”, “грустный”, “злой”, “испуганный”, “отвращение”, “удивление” ...
Added: October 21, 2018