Heading Generation for News Selections

Student: Mazunina Zoya

Supervisor: Alexey Malafeev

Faculty: Faculty of Humanities (Nizhny Novgorod)

Educational Programme: Fundamental and Applied Linguistics (Bachelor)

Year of Graduation: 2020

The present paper is devoted to the development of headline generation algorithm for news selections. The research is partly focused on determining the essence of the title, its functional and structural specifics in print media and web news. The characteristics discovered are also confirmed in the course of statistical analysis of the news corpus. The creation of news collections corpora is also described; both are used for algorithm training and testing. The created generation method is a hybrid algorithm that combines the extraction of informative sentences from a selection based on keywords, thematic expressions, and the Sequence-to-Sequence architecture. The results obtained were evaluated with ROUGE and classified in terms of language violations.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses