Validating Literary Theories Using Automatic Social Network Extraction

Prashant Arun Jayannavar; Apoorv Agarwal; Melody Ju; Owen Rambow

Validating Literary Theories Using Automatic Social Network Extraction

Prashant Arun Jayannavar
, Apoorv Agarwal
, Melody Ju
, Owen Rambow

Linguistics

Columbia University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

In this paper, we investigate whether longstanding literary theories about nineteenth-century British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.

Original language	English
Title of host publication	NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015
Publisher	Association for Computational Linguistics (ACL)
Pages	32-41
Number of pages	10
ISBN (Electronic)	9781941643365
State	Published - 2015
Event	4th Workshop on Computational Linguistics for Literature, CLFL 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 - Denver, United States Duration: Jun 4 2015 → …

Publication series

Name	NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015

Conference

Conference	4th Workshop on Computational Linguistics for Literature, CLFL 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015
Country/Territory	United States
City	Denver
Period	06/4/15 → …

Cite this

Jayannavar, P. A., Agarwal, A., Ju, M., & Rambow, O. (2015). Validating Literary Theories Using Automatic Social Network Extraction. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015 (pp. 32-41). (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015). Association for Computational Linguistics (ACL).

Jayannavar, Prashant Arun ; Agarwal, Apoorv ; Ju, Melody et al. / Validating Literary Theories Using Automatic Social Network Extraction. NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015. Association for Computational Linguistics (ACL), 2015. pp. 32-41 (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015).

@inproceedings{9e7fee59d37d4065ae96deba3172a24a,

title = "Validating Literary Theories Using Automatic Social Network Extraction",

abstract = "In this paper, we investigate whether longstanding literary theories about nineteenth-century British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.",

author = "Jayannavar, \{Prashant Arun\} and Apoorv Agarwal and Melody Ju and Owen Rambow",

note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; 4th Workshop on Computational Linguistics for Literature, CLFL 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 ; Conference date: 04-06-2015",

year = "2015",

language = "English",

series = "NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015",

publisher = "Association for Computational Linguistics (ACL)",

pages = "32--41",

booktitle = "NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics",

}

Jayannavar, PA, Agarwal, A, Ju, M & Rambow, O 2015, Validating Literary Theories Using Automatic Social Network Extraction. in NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015. NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015, Association for Computational Linguistics (ACL), pp. 32-41, 4th Workshop on Computational Linguistics for Literature, CLFL 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, Denver, United States, 06/4/15.

Validating Literary Theories Using Automatic Social Network Extraction. / Jayannavar, Prashant Arun; Agarwal, Apoorv; Ju, Melody et al.
NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015. Association for Computational Linguistics (ACL), 2015. p. 32-41 (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Validating Literary Theories Using Automatic Social Network Extraction

AU - Jayannavar, Prashant Arun

AU - Agarwal, Apoorv

AU - Ju, Melody

AU - Rambow, Owen

PY - 2015

Y1 - 2015

N2 - In this paper, we investigate whether longstanding literary theories about nineteenth-century British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.

AB - In this paper, we investigate whether longstanding literary theories about nineteenth-century British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.

UR - https://www.scopus.com/pages/publications/84959874027

M3 - Conference contribution

AN - SCOPUS:84959874027

T3 - NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015

SP - 32

EP - 41

BT - NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics

PB - Association for Computational Linguistics (ACL)

T2 - 4th Workshop on Computational Linguistics for Literature, CLFL 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015

Y2 - 4 June 2015

ER -

Jayannavar PA, Agarwal A, Ju M, Rambow O. Validating Literary Theories Using Automatic Social Network Extraction. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015. Association for Computational Linguistics (ACL). 2015. p. 32-41. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 4th Workshop on Computational Linguistics for Literature, CLFL 2015).

Validating Literary Theories Using Automatic Social Network Extraction

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this