Literary authorship attribution with phrase-structure fragments

TY - CHAP

T1 - Literary authorship attribution with phrase-structure fragments

AU - van Cranenburgh, Andreas

N1 - Reporting year: 2012 Metis note: Co-located with the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

PY - 2012

Y1 - 2012

N2 - We present a method of authorship attribution and stylometry that exploits hierarchical information in phrase-structures. Contrary to much previous work in stylometry, we focus on content words rather than function words. Texts are parsed to obtain phrase-structures, and compared with texts to be analyzed. An efficient tree kernel method identifies common tree fragments among data of known authors and unknown texts. These fragments are then used to identify authors and characterize their styles. Our experiments show that the structural information from fragments provides complementary information to the baseline trigram model.

AB - We present a method of authorship attribution and stylometry that exploits hierarchical information in phrase-structures. Contrary to much previous work in stylometry, we focus on content words rather than function words. Texts are parsed to obtain phrase-structures, and compared with texts to be analyzed. An efficient tree kernel method identifies common tree fragments among data of known authors and unknown texts. These fragments are then used to identify authors and characterize their styles. Our experiments show that the structural information from fragments provides complementary information to the baseline trigram model.

M3 - Contribution to conference proceedings

SN - 978-1-937284-20-6

SP - 59

EP - 63

BT - Proceedings of the Workshop on Computational Linguistics for Literature

PB - Association for Computational Linguistics (ACL)

CY - Stroudsburg, PA

ER -