Same same, but different: Compositionality of paraphrase granularity levels

Benikova, Darina; Zesch, Torsten

doi:10.26615/978-954-452-049-6_014

Tagungsbeitrag 2017 CC BY 4.0

Veröffentlicht

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.

Vorschau

Einordnung

Konferenz:: International Conference Recent Advances in Natural Language Processing, RANLP, Varna, Bulgaria, Sep 4–6 2017
Datum der Veröffentlichung:: 2017
URN:: urn:nbn:de:hbz:464-20211019-141437-5
DOI:: 10.26615/978-954-452-049-6_014
Sprache:: Englisch
Ressourcentyp:: Text
Kollektion:: E-Publikationen
Sachgruppen der Deutschen Nationalbibliographie:: 004 Informatik
Einrichtung:: Fakultät für Ingenieurwissenschaften, Informatik und Angewandte Kognitionswissenschaft, Informatik, Sprachtechnologie
Informationen zur Erstveröffentlichung:: 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