Multidocument Summarization

Student: Palchikov Nikolai

Supervisor: Ekaterina Artemova

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2020

The task of summarizing several documents is to automatically present several texts in the form of a summary that r eflects the main essence of the sources. Abstract approaches to multidocument summarization imply that the text wil l be generated from scratch. Unsupervised approaches do not use any labels in the data. Aspect-oriented approaches solve this problem in terms of highlighting aspects and summarizing each of them individually. In this work, a data set for multidocument summarization was callected, and a small part of it for evaluation was labeled. An approach t o abstract aspect-oriented unsupervised multidocument summarization was proposed.

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