Structure-based clustering of novels

Proceedings of the 3rd Workshop on Computational Linguistics for Literature, CLfL 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014

Volumn , Issue , 2014, Pages 31-39

  Ardanuy, Mariona Coll ^a   Sporleder, Caroline ^a  

^a UNIVERSITY OF TRIER   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE);

BASED CLUSTERING; CLUSTERINGS; DOCUMENT CLUSTERING; STRUCTURE-BASED; STYLOMETRICS;

COMPUTATIONAL LINGUISTICS;

EID: 85072264580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. Scott Aaronson. 2001. Stylometric clustering: A comparison of data-driven and syntactic features. Technical report, Computer Science Department, University of California, Berkeley.
2. Apoorv Agarwal, Augusto Corvalan, Jacob Jensen, and Owen Rambow. 2012. Social network analysis of alice in wonderland. InWorkshop on Computational Linguistics for Literature, Association for Computational Linguistics, pages 88-96.
3. Navot Akiva and Moshe Koppel. 2012. Identifying distinct components of a multi-author document. EISIC, pages 205-209.
4. Ricardo Alberich, Josep Miró-Julià, and Francesc Rosselló. 2002. Marvel universe looks almost like a real social network. cond-mat/. Sarah Allison, Ryan Heuser, Matthew Jockers, Franco Moretti, and Michael Witmore. 2011. Quantitative formalism: An experiment. Literary Lab, Pamphlet 1.
5. Harald Baayen, Hans van Halteren, and Fiona Tweedie. 1996. Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution. Literary and Linguistic Computing, 11:121-131.
6. Mikhail Bakhtin. 1981. Epic and novel: Towards a methodology for the study of the novel. In J. Michael Holquist, editor, The dialogic imagination: Four essays. Unversity of Texas Press.
7. Ron Bekkerman, Hema Raghavan, and James Allan Koji Eguchi. 2007. Interactive clustering of text collections according to a user-specified criterion. In In Proceedings of IJCAI, pages 684-689.
8. Asli Celikyilmaz, Dilek Hakkani-tur, Hua He, Greg Kondrak, and Denilson Barbosa. 2010. The actortopic model for extracting social networks in literary narrative. In NIPS Workshop: Machine Learning for Social Computing.
9. David K. Elson and Kathleen R. McKeown. 2010. Automatic attribution of quoted speech in literary narrative. In Association for the Advancement of Artificial Intelligence.
10. David K. Elson, Nicholas Dames, and Kathleen R. McKeown. 2010. Extracting social networks from literary fiction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.
11. Suhit Gupta, Hila Becker, Gail Kaiser, and Salvatore Stolfo. 2005. A genre-based clustering approach to content extraction. Technical report, Department of Computer Science, Columbia University.
12. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. 2009. The weka data mining software: An update. SIGKDD Explorations, Volume 11.
13. David I. Holmes and Richard S. Forsyth. 1995. The federalist revisited: New directions in authorship attribution. Literary and Linguistic Computing, 10:111-127.
14. Robert Layton, Paul Watters, and Richard Dazeley. 2011. Automated unsupervised authorship analysis using evidence accumulation clustering. Natural Language Engineering, 19:95-120.
15. Gerard Ledger and Thomas Merriam. 1994. Shakespeare, fletcher, and the two noble kinsmen. Literary and Linguistic Computing, 9:235-248.
16. Franco Moretti. 2011. Network theory, plot analysis. Literary Lab, Pamphlet 2.
17. M. E. J. Newman and M. Girvan. 2003. Finding and evaluating community structure in networks. Physical Review E, 69:1-16.
18. Bohdan Pavlyshenko. 2012. The clustering of author's texts of english fiction in the vector space of semantic fields. The Computing Research Repository, abs/1212.1478.
19. Céline Poudat and Guillaume Cleuziou. 2003. Genre and domain processing in an information retrieval perspective. In ICWE, pages 399-402.
20. Vladimir I. A. Propp. 1968. Morphology of the folktale. University of Texas Press.
21. Jeff Rydberg-Cox. 2011. Social networks and the language of greek tragedy. Journal of the Chicago Colloquium on Digital Humanities and Computer Science, 1:1-11.
22. Graham Alexander Sack. 2011. Simulating plot: Towards a generative model of narrative structure. In Complex Adaptive Systems: Energy, Information and Intelligence: Papers from the 2011 AAAI Fall Symposium (FS-11-03), pages 127-136.
23. Graham Sack. 2012. Character networks for narrative generation. In Intelligent Narrative Technologies: Papers from the 2012 AIIDE Workshop, AAAI Technical Report WS-12-14, pages 38-43.
24. Caroline Suen, Laney Kuenzel, and Sebastian Gil. 2013. Extraction and analysis of character interaction networks from plays and movies. Retrieved from : Http://dh2013.unl.edu/abstracts/ab-251.html, July.
25. Bin Zhang. 2013. Learning Features for Text Classification. Ph.D. thesis, University of Washington.