Feuding families and former friends: Unsupervised learning for dynamic fictional relationships

2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Volumn , Issue , 2016, Pages 1534-1544

  Iyyer, Mohit ^a   Guha, Anupam ^a   Chaturvedi, Snigdha ^a   Boyd Graber, Jordan ^b   Daumé, Hal ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTORS; DICTIONARY LEARNING; DIGITAL HUMANITIES; TOPIC MODELING; UNSUPERVISED NEURAL NETWORKS;

COMPUTATIONAL LINGUISTICS;

EID: 84994081828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1180     Document Type: Conference Paper

References (44)

1. Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, and Rashish Tandon. 2014. Learning sparsely used overcomplete dictionaries. In Proceedings of Conference on Learning Theory.
2. David Bamman, Brendan O'Connor, and Noah A. Smith. 2013. Learning latent personas of film characters. In Proceedings of the Association for Computational Linguistics.
3. David Bamman, Ted Underwood, and Noah A. Smith. 2014. A bayesian mixed effects model of literary character. In Proceedings of the Association for Computational Linguistics.
4. David M Blei, Andrew Y Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. Journal of Machine Learning Research, 3.
5. Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, and Heng Ji. 2015. A novel neural topic model and its supervised extension. In Association for the Advancement of Artificial Intelligence.
6. Nathanael Chambers and Daniel Jurafsky. 2008. Unsupervised learning of narrative event chains. In Proceedings of the Association for Computational Linguistics.
7. Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised learning of narrative schemas and their participants. In Proceedings of the Association for Computational Linguistics.
8. Jonathan Chang, Jordan Boyd-Graber, and David M Blei. 2009a. Connections between the lines: augmenting social networks with text. In Knowledge Discovery and Data Mining.
9. Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L Boyd-Graber, and David M Blei. 2009b. Reading tea leaves: How humans interpret topic models. In Proceedings of Advances in Neural Information Processing Systems.
10. Snigdha Chaturvedi, Shashank Srivastava, Hal Daumé III, and Chris Dyer. 2016. Modeling dynamic relationships between characters in literary novels. In Association for the Advancement of Artificial Intelligence.
11. J. Cognard-Black, M. Goldthwaite, and M. Nestle. 2014. Books That Cook: The Making of a Literary Meal. NYU Press.
12. Rajarshi Das, Manzil Zaheer, and Chris Dyer. 2015. Gaussian lda for topic models with word embeddings. In Proceedings of the Association for Computational Linguistics.
13. Michael Elad and Michal Aharon. 2006. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Transactions on Image Processing, 15(12).
14. Micha Elsner. 2012. Character-based kernels for novelistic plot structure. In Proceedings of the European Chapter of the Association for Computational Linguistics.
15. David K Elson, Nicholas Dames, and Kathleen R McKeown. 2010. Extracting social networks from literary fiction. In Proceedings of the Association for Computational Linguistics.
16. Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, and Noah Smith. 2015. Sparse overcomplete word vector representations. In Proceedings of the Association for Computational Linguistics.
17. Joseph L Fleiss. 1971. Measuring nominal scale agreement among many raters. Psychological bulletin, 76(5).
18. Lucie Flekova and Iryna Gurevych. 2015. Personality profiling of fictional characters using sense-level links between lexical resources. In Proceedings of Empirical Methods in Natural Language Processing.
19. T.C. Foster. 2009. How to Read Literature Like a Professor. HarperCollins.
20. Alona Fyshe, Leila Wehbe, Partha P Talukdar, Brian Murphy, and Tom M Mitchell. 2015. A compositional and interpretable semantic space. In Conference of the North American Chapter of the Association for Computational Linguistics.
21. Michael D Gordin, Helen Tilley, and Gyan Prakash. 2010. Utopia/dystopia: conditions of historical possibility. Princeton University Press.
22. Amit Goyal, Ellen Riloff, and Hal Daumé III. 2013. A computational model for plot units. Computational Intelligence Journal, 29(3).
23. Amit Gruber, Yair Weiss, and Michal Rosen-Zvi. 2007. Hidden topic markov models. In Proceedings of Artificial Intelligence and Statistics.
24. Aapo Hyvärinen and Erkki Oja. 2000. Independent component analysis: algorithms and applications. Neural networks, 13(4).
25. Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. 2014. Political ideology detection using recursive neural networks. In Proceedings of the Association for Computational Linguistics.
26. Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015. Deep unordered composition rivals syntactic methods for text classification. In Proceedings of the Association for Computational Linguistics.
27. Matt L. Jockers. 2013. Macroanalysis: Digital Methods and Literary History. Topics in the Digital Humanities. University of Illinois Press.
28. Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. In Proceedings of the International Conference on Learning Representations.
29. Vinodh Krishnan and Jacob Eisenstein. 2015. "You're Mr. Lebowski, I'm The Dude": Inducing address term formality in signed social networks. In Conference of the North American Chapter of the Association for Computational Linguistics.
30. Angeliki Lazaridou, Elia Bruni, and Marco Baroni. 2014. Is this a wampimuk? cross-modal mapping between distributional semantics and the visual world. In Proceedings of the Association for Computational Linguistics.
31. Wendy G Lehnert. 1981. Plot units and narrative summarization. Cognitive Science, 5(4).
32. Jiwei Li, Minh-Thang Luong, and Dan Jurafsky. 2015. A hierarchical neural autoencoder for paragraphs and documents. In Proceedings of the Association for Computational Linguistics.
33. Philip Massey, Patrick Xia, David Bamman, and Noah A Smith. 2015. Annotating character relationships in literary texts. arXiv:1512.00728.
34. Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, Deborah Cai, Jennifer Midberry, and Yuanxin Wang. 2014. Modeling topic control to detect influence in conversations using nonparametric topic models. Machine Learning, 95:381-421.
35. Bruno A Olshausen and David J Field. 1997. Sparse coding with an overcomplete basis set: A strategy employed by v1? Vision research, 37(23).
36. J Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Fern, and Thomas G Dietterich. 2014. Learning scripts as hidden markov models. In Association for the Advancement of Artificial Intelligence.
37. Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014. Glove: Global vectors for word representation. In Proceedings of Empirical Methods in Natural Language Processing.
38. Roger Schank and Robert Abelson. 1977. Scripts, Plans, Goals and Understanding: an Inquiry into Human Knowledge Structures. L. Erlbaum.
39. Richard Socher, Quoc V Le, Christopher D Manning, and Andrew Y Ng. 2014. Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics.
40. Shashank Srivastava, Snigdha Chaturvedi, and Tom Mitchell. 2016. Inferring interpersonal relations in narrative summaries. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16.
41. Edmund M. Talley, David Newman, David Mimno, Bruce W. Herr, Hanna M. Wallach, Gully A. P. C. Burns, A. G. Miriam Leenders, and Andrew McCallum. 2011. Database of NIH grants using machine-learned categories and graphical clustering. Nature Methods, 8(6):443-444, May.
42. Hardik Vala, David Jurgens, Andrew Piper, and Derek Ruths. 2015. Mr. bennet, his coachman, and the archbishop walk into a bar but only one of them gets recognized: On the difficulty of detecting characters in literary texts. In Proceedings of Empirical Methods in Natural Language Processing.
43. Jason Weston, Samy Bengio, and Nicolas Usunier. 2011. Wsabie: Scaling up to large vocabulary image annotation. In International Joint Conference on Artificial Intelligence.
44. Ilinca Zarifopol-Johnston. 1995. To kill a text: the dialogic fiction of Hugo, Dickens, and Zola. University of Delaware Press.