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Publications (25)
Розглянуто проблему класифікації намірів користувачів у чат-боті, зосереджуючись на використанні моделей машинного та глибинного навчання. Проведено аналіз існуючих методів і наборів даних, і визначено задачу виявлення намірів через zero-shot-класифікацію за допомогою моделей Natural Language Inference (NLI). Запропоновано різнотипні підходи до кла...
Neural machine translation falls into the category of natural language processing tasks. Despite the availability of a big number of research papers that are devoted to the improvement of the quality of the machine translation of documents, the problem of the translation of the spoken language that contains the elements of the disfluency speech is...
In this paper, the different models for the estimation of both local and global coherence of Ukrainian-language texts have been considered. In order to evaluate the local coherence of a document, Transformer-based and LSTM neural networks have been proposed with further training on a Ukrainian-language news corpus. It has been shown that the LSTM-b...
Coherence evaluation of texts falls into a category of natural language processing tasks. The evaluation of texts’ coherence implies the estimation of their semantic and logical integrity; such a feature of a text can be utilized during the solving of multidisciplinary tasks (SEO analysis, medicine area, detection of fake texts, etc.). In this pape...
Запропоновано метод розроблення та верифікації застосувань для систем з масовим паралелізмом на основі відеоадаптерів від компанії NVIDIA, який дозволяє створювати абстракції різних рівнів за допомогою апарата розмічених транзиційних систем. Композиції таких систем трансформуються в мережі Петрі, які далі аналізуються відповідними засобами. Метод т...
In this paper, a graph-based coherence estimation method based on the cohesion estimation is suggested. Our method uses a graph-based approach to provide a user with an understanding of the evaluation process. Moreover, it can be applied to different languages, therefore, the effectiveness of this method is examined on the set of English, Chinese,...
The graph-based method of coherence assessment of texts based on the analysis of semantic, grammatical, and lexical consistency of sentence phrases has been suggested. The experimental verification of the efficiency of the method has been performed on the English-language corpora. The metrics obtained can indicate that the suggested method outperfo...
Due to the growing role of the SEO technologies, it is necessary to perform an automated analysis of the article's quality. Such approach helps both to return the most intelligible pages for the user's query and to raise the web sites positions to the top of query results. An automated assessment of a coherence is a part of the complex analysis of...
An implementation of the remote pulse monitoring system which allows observing of the patient's pulse in a real-time mode via browser is offered in this work. The result of the work is the development of the complex system, which contains the hardware components for the pulse measurement and the software component for the data processing and visual...
Introduction. The area of natural language processing considers AI-complete tasks that cannot be solved using traditional algorithmic actions. Such tasks are commonly implemented with the usage of machine learning methodology and means of computer linguistics. One of the preprocessing tasks of a text is the search of noun phrases. The accuracy of t...
The main methods of coherence evaluation of texts with the usage of different machine learning techniques have been analyzed. The principles of methods with the usage of recurrent and convolutional neural networks have been described in details. The advantages of a semantic similarity graph method have been considered. Other approaches to perform t...
Здійснено порівняльний аналіз різних методів оброблення природної мови для виявлення симптомів ментального захворювання. Розглянуто принцип роботи та ефективність моделей оцінювання семантичної когерентності тексту (моделі тан-генційності та некогерентності) для класифікації текстів здорових і хворих осіб. У роботі зазначається залежність точності...
Different state-of-the-art methods of the detection of schizophrenia symptoms based on the estimation of text coherence have been analyzed. The analysis of a text at the level of phrases has been suggested. The method based on the graph of the consistency of phrases has been proposed to evaluate the semantic coherence and the cohesion of a text. Th...
The detection of coreferent pairs within a text is one of the basic tasks in the area of natural language processing (NLP). The state‑ of‑ the‑ art methods of coreference resolution are based on machine learning algorithms. The key idea of the methods is to detect certain regularities between the semantic or grammatical features of text entities. I...
The estimation of text coherence is one of the most actual tasks of computer linguistics. Analysis of text coherence is widely used for writing and selection of documents. It allows clearly conveying the idea of an author to a reader. The importance of this task can be confirmed by the availability of actual works that are dedicated to solving it....
