Automated methods of coherence evaluation of Ukrainian texts using machine learning techniques

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2020
• Heft: 2-3
• Сторінки: 295-303
• ISSN: 1727-4907
• Автори та афіліації: A.A. Kramov — Kiev Taras Shevchenko National University — ORCID: 0000-0003-3631-1268; S.D. Pogorilyy — Kiev Taras Shevchenko National University — ORCID: 0000-0002-6497-5056
• Hauptverfasser: Kramov, A.A., Pogorilyy, S.D.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2020
• Schlagworte: coherence of a text; recurrent neural network; convolutional neural network; semantic similarity graph; semantic representation of sentences; document discrimination task; insertion task; UDC 004.83
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/421
• Назва журналу: Problems in programming

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 h...