Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
In this paper we present a new Russian paraphrase corpus derived from the news feed of the social network and conduct its primary analysis. Most media agencies post their news reports on their pages in social networks, and the headlines of the messages are often the same as those of the corresponding news articles from the official websites of the agencies. However, sometimes these pairs of headlines differ, and in such cases a headline from the social network can be considered a compression or a paraphrase of the original headline. In other words, such news feed from social networks is a rich resource of textual entailment, and, as it is shown in this paper, various linguistic phenomena, e.g., irony, presupposition and attention attracting markers. We collect the described pairs of headlines and construct the Russian social network news feed paraphrase corpus based on them. We test the paraphrase detection model trained on the other existing Russian paraphrase corpus, ParaPhraser.ru, collected from official news headlines only, against the constructed dataset, and explore its linguistic and pragmatic features.
Язык оригинала | английский |
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Название основной публикации | Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings |
Редакторы | Miguel González-Mendoza, Félix Castro, Sabino Miranda-Jiménez |
Издатель | Springer Nature |
Страницы | 133-145 |
Число страниц | 13 |
ISBN (печатное издание) | 9783030028398 |
DOI | |
Состояние | Опубликовано - 2018 |
Событие | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 - Enseneda, Мексика Продолжительность: 23 окт 2017 → 28 окт 2017 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Том | 10633 LNAI |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 |
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Страна/Tерритория | Мексика |
Город | Enseneda |
Период | 23/10/17 → 28/10/17 |
ID: 73343642