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Autor*innen: Szarvas, György; Gurevych, Iryna
Titel: Uncertainty detection for natural language watermarking
Aus: Mitkov, Ruslan; Park, Jong C. (Hrsg.): Proceedings of the Sixth International Joint Conference on Natural Language Processing (IJCNLP 2013), Nagoya: Asian Federation of Natural Language Processing, 2013 , S. 1188-1194
URL: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2013/IJCNLP_2013_Szarvas.pdf
Dokumenttyp: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: Algorithmus; Computerlinguistik; Daten; Information; Synonym; Text; Veränderung; Wort
Abstract: In this paper we investigate the application
of uncertainty detection to text watermarking,
a problem where the aim is to
produce individually identifiable copies of
a source text via small manipulations to
the text (e.g. synonym substitutions). As
previous attempts showed, accurate paraphrasing
is challenging in an open vocabulary
setting, so we propose the use of the
closed word class of uncertainty cues. We
demonstrate that these words are promising
for text watermarking as they can be
accurately disambiguated (from the noncue
uses of the same words) and their substitution
with other cues has marginal impact
to the meaning of the text.
DIPF-Abteilung: Informationszentrum Bildung