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2016 | OriginalPaper | Buchkapitel

Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction

verfasst von : Ekaterina Pronoza, Elena Yagunova, Anton Pronoza

Erschienen in: Information Retrieval

Verlag: Springer International Publishing

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Abstract

This paper presents a crowdsourcing project on the creation of a publicly available corpus of sentential paraphrases for Russian. Collected from the news headlines, such corpus could be applied for information extraction and text summarization. We collect news headlines from different agencies in real-time; paraphrase candidates are extracted from the headlines using an unsupervised matrix similarity metric. We provide user-friendly online interface for crowdsourced annotation which is available at paraphraser.​ru. There are 5181 annotated sentence pairs at the moment, with 4758 of them included in the corpus. The annotation process is going on and the current version of the corpus is freely available at http://​paraphraser.​ru.

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Vorheriges Kapitel Exploiting Semantic Annotation of Content with Linked Open Data (LoD) to Improve Searching Performance in Web Repositories of Multi-disciplinary Research Data
Nächstes Kapitel Using Levenshtein Distance for Typical User Actions and Search Engine Switching Detection
Fußnoten
1
This statement can only be applied to the informative news texts (the ones intended to inform, and not to persuade the reader) and not to the publicistic texts (exerting influence on the reader in the first place). A publicistic headline is often designed to attract readers’ attention. However, both publicistic and informative texts can be used as a source of paraphrases.
 
2
The latter might be of no importance for English, but they are essential for detecting Russian sentential paraphrases.
 
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Metadaten
Titel
Construction of a Russian Paraphrase Corpus: Unsupervised Paraphrase Extraction
verfasst von
Ekaterina Pronoza
Elena Yagunova
Anton Pronoza
Copyright-Jahr
2016
Buch
Information Retrieval

Print ISBN: 978-3-319-41717-2

Electronic ISBN: 978-3-319-41718-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-41718-9_8

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