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  • Same same, but different: Compositionality of paraphrase granularity levels

Same same, but different: Compositionality of paraphrase granularity levels

Paraphrases exist on different granularity levels, the most frequently used one being the sentential level. However, we argue that working on the sentential level is not optimal for both machines and humans, and that it would be easier and more efficient to work on sub-sentential levels. To prove this, we quantify and analyze the difference between paraphrases on both sentence and sub-sentence level in order to show the significance of the problem. First results on a preliminary dataset seem to confirm our hypotheses.

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Category

Conference:
International Conference Recent Advances in Natural Language Processing, RANLP, Varna, Bulgaria, Sep 4–6 2017
Date Issued:
2017
URN:
urn:nbn:de:hbz:464-20211019-141437-5
DOI:
10.26615/978-954-452-049-6_014
Language:
English
Type of Resource:
Text
Collection:
E-Publications
Subject categories of the Deutsche Nationalbibliografie:
004 Data processing Computer sciences
Hosting institution:
Faculty of Engineering, Computer Science and Applied Cognitive Science, Computer Science, Language Technology Lab
Info on primary publication:
Benikova, Darina/Zesch, Torsten (2017): Same same, but different: Compositionality of paraphrase granularity levels. In: Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017, pp. 90-96. DOI: https://doi.org/10.26615/978-954-452-049-6_014

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