Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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.
Original language | English |
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Title of host publication | Advances in Computational Intelligence - 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Proceedings |
Editors | Miguel González-Mendoza, Félix Castro, Sabino Miranda-Jiménez |
Publisher | Springer Nature |
Pages | 133-145 |
Number of pages | 13 |
ISBN (Print) | 9783030028398 |
DOIs | |
State | Published - 2018 |
Event | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 - Enseneda, Mexico Duration: 23 Oct 2017 → 28 Oct 2017 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10633 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 |
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Country/Territory | Mexico |
City | Enseneda |
Period | 23/10/17 → 28/10/17 |
ID: 73343642