24.4892, Calls: Computational Linguistics, Text/Corpus Linguistics, Sociolinguistics/USA
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Tue Dec 3 15:18:37 UTC 2013
LINGUIST List: Vol-24-4892. Tue Dec 03 2013. ISSN: 1069 - 4875.
Subject: 24.4892, Calls: Computational Linguistics, Text/Corpus Linguistics, Sociolinguistics/USA
Moderator: Damir Cavar, Eastern Michigan U <damir at linguistlist.org>
Monica Macaulay, U of Wisconsin Madison
Rajiv Rao, U of Wisconsin Madison
Joseph Salmons, U of Wisconsin Madison
Mateja Schuck, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
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Editor for this issue: Bryn Hauk <bryn at linguistlist.org>
Date: Tue, 03 Dec 2013 10:18:19
From: Jacob Eisenstein [jacobe at gmail.com]
Subject: ACL Workshop on Language Technology and Computational Social Science
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Full Title: ACL Workshop on Language Technology and Computational Social Science
Date: 26-Jun-2014 - 26-Jun-2014
Location: Baltimore, MD, USA
Contact Person: Jacob Eisenstein
Meeting Email: ltcss at gmail.com
Web Site: http://www.mpi-sws.org/~cristian/LACSS_2014.html
Linguistic Field(s): Computational Linguistics; Sociolinguistics; Text/Corpus Linguistics
Call Deadline: 21-Mar-2014
A major growth area in applied natural language processing has been the field of computational social science, in which automated techniques are applied to massive datasets to answer scientific questions about society. Although much work in computational social science focuses on structured data or network data, linguistic data is also central. While some existing natural language processing techniques have found use in this growing community, new techniques for discovering and analyzing social meanings and structures in text are in high demand.
Tackling these challenges should be an interdisciplinary pursuit, building on expertise not just in language technologies but also in substantive social science fields (e.g., political science, economics, sociology, etc.). In particular, engagement between NLP researchers and social scientists will introduce new problem formulations and new theoretical frameworks that will broaden and deepen applications of language technology to social science.
The goal of this workshop is to increase the visibility of this application area for ACL researchers and to help build connections between language technologists and social scientists. The workshop is organized around invited talks from researchers who have successfully brought language technologies to computational social science research questions. Following each invited talk session, there will be an open discussion period.
We also invite abstracts of research in progress relevant to the theme of language technologies for computational social science. Work in progress is encouraged, and all presentations will be presented as posters. This format aims at fostering interactions among participants and invited speakers, contributing towards building a community interested in language technologies and computational social science.
Justin Grimmer (Political Science, Stanford University)
Lillian Lee (Computer Science, Cornell University)
Philip Resnik (Linguistics, University of Maryland)
Sali Tagliamonte (Linguistics, University of Toronto)
Call for Papers:
The official description is below, but for LINGUIST List we want to emphasize our interest in submissions describing novel applications of computing to the study of the social function of language.
This workshop invites a broad spectrum of work in the intersection between computational linguistics and social science. All submissions will be presented as posters, and active discussion of preliminary and ongoing work are especially encouraged.
Topics include, but are not limited to:
- Inferring social relations (e.g., power dynamics, stance, accommodation) from conversation and other linguistic behavior
- Automatic extraction of international relations event data from news
- Inference of author and speaker properties (geography, age, gender, etc) from text and speech
- Measuring and tracking political ideology in text, including the framing and positioning of ideological content
- Understanding the political system, including public opinion, legislative and judicial processes, and popular unrest
- Relating text datasets to author social networks: for example, predicting social ties from text, or smoothing textual topics over network structure
- Tracking language change over time, space, and communities
- Measuring linguistic influence
- Computational analysis of literary and historical corpora
- Tracking the flow of information, ideas, and sentiment through social networks, include information cascades
- Position papers that draw implications from social science theory (sociology, political science, sociolinguistics, economics) for language technology
- New applications of language technology to social science research
We especially welcome submissions with the potential to increase engagement between NLP researchers and social scientists, and which will help to build a community interested in language technologies and computational social science. Submissions should be no more than four pages long in the 2014 ACL format, excluding references; review will be double-blind. On acceptance, authors will have the option of either the paper or just the abstract being included in the workshop proceedings.
LINGUIST List: Vol-24-4892
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