Article | NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements Linköping University Electronic Press Conference Proceedings
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Title:
Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements
Author:
Joakim Åkerström: Department of Computer Science and Engineering, University of Gothenburg, Sweden Adel Daoud: Centre for Business Research, Cambridge Judge Business School, University of Cambridge, UK / Harvard Center for Population and Development Studies, Harvard University, USA / The Alan Turing Institute, London, UK Adel Daoud: Department of Computer Science and Engineering, University of Gothenburg, Sweden
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Year:
2019
Conference:
NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
034
Pages:
316--320
No. of pages:
4
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Social science researchers often use text as the raw data in investigations: for instance, when investigating the effects of IMF policies on the development of countries under IMF programs, researchers typically encode structured descriptions of the programs using a time-consuming manual effort. Making this process automatic may open up new opportunities in scaling up such investigations. As a first step towards automatizing this coding process, we describe an experiment where we apply a sentence classifier that automatically detects mentions of policy conditions in IMF loan agreements and divides them into different types. The results show that the classifier is generally able to detect the policy conditions, although some types are hard to distinguish.

Keywords: text classification content analysis policy evaluation social science

NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Joakim Åkerström, Adel Daoud, Adel Daoud
Title:
Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements
References:
No references available

NEAL Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Joakim Åkerström, Adel Daoud, Adel Daoud
Title:
Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements
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Last updated: 2019-11-06