Translating CAMEO Verbs for Automated Coding of Event Data (doi:10.7910/DVN/EAL0CY)

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Document Description

Citation

Title:

Translating CAMEO Verbs for Automated Coding of Event Data

Identification Number:

doi:10.7910/DVN/EAL0CY

Distributor:

Harvard Dataverse

Date of Distribution:

2019-03-08

Version:

1

Bibliographic Citation:

Osorio, Javier; Pavon, Viveca; Holmes, Jennifer; Salam, Sayeed; Brandt, Patrick T.; Khan, Latifur, 2019, "Translating CAMEO Verbs for Automated Coding of Event Data", https://doi.org/10.7910/DVN/EAL0CY, Harvard Dataverse, V1

Study Description

Citation

Title:

Translating CAMEO Verbs for Automated Coding of Event Data

Identification Number:

doi:10.7910/DVN/EAL0CY

Authoring Entity:

Osorio, Javier (Assistant Professor University of Arizona - School of Government and Public Policy)

Pavon, Viveca (Postdoctoral Researcher University of Arizona - School of Government and Public Policy)

Holmes, Jennifer (University of Texas at Dallas)

Salam, Sayeed (University of Texas at Dallas - Computer Science)

Brandt, Patrick T. (Associate Professor University of Texas at Dallas)

Khan, Latifur (University of Texas at Dallas - Computer Science)

Distributor:

Harvard Dataverse

Access Authority:

Interactions, International

Depositor:

Interactions, International

Date of Deposit:

2019-01-31

Holdings Information:

https://doi.org/10.7910/DVN/EAL0CY

Study Scope

Keywords:

Computer and Information Science, Social Sciences

Abstract:

The Conflict and Mediation Event Observations (CAMEO) framework is the industry standard for computerized event coding that produce massive data on political conflict at a global scale. However, despite their focus on conflict in foreign locations, most cod- ing efforts have the limitation of exclusively relying on text written in English. This pa- per advances the frontier of computerized event coding by presenting the CAMEO Verb Translation Application (VTA), a new technology to enable the translation of CAMEO verb dictionaries into non-English languages. CAMEO VTA integrates automated trans- lation with human-in-the-loop features to increase the validity of the translation task. This development opens the possibility of expanding the leverage of CAMEO in a sys- tematic and efficient manner. The first application of this tool focuses on translating CAMEO into Spanish.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Other Study-Related Materials

Label:

ambiguity3D_v1-1.pdf

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application/pdf

Other Study-Related Materials

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bar_FeedbackOnSynsetWord-1.pdf

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application/pdf

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bar_PercentageByCameoCategory-1.pdf

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application/pdf

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bar_SynsetVerdict-1.pdf

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application/pdf

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bar_VerdictByCameoCategory-1.pdf

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application/pdf

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bar_VerdictByCameoCategoryFill-1.pdf

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application/pdf

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CameoEntry-1.json

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application/json

Other Study-Related Materials

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CameoRule-1.json

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application/json

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CameoTranslatedRule-1.json

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application/json

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CAMEO_rule_synsets_augmented-1.csv

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text/comma-separated-values

Other Study-Related Materials

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CAMEO_rule_synsets_original-1.csv

Notes:

text/csv

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CAMEO_VTA_replication-1.R

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type/x-r-syntax

Other Study-Related Materials

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FeedbackOnSynsetWord-1.json

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application/json

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ForumMessage-1.json

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application/json

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READEME-1.md

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text/markdown

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README-2.md

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text/markdown

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README-3.md

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text/markdown

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Relational Schema fv-1.pdf

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application/pdf

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Submission-1.json

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application/json

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SynsetEntry-1.json

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application/json

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SynsetExample-1.json

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application/json

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SynsetExampleVerdict-1.json

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application/json

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SynsetStatistics-1.json

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application/json

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SynsetVerdict-1.json

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application/json

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SynsetWord-1.json

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application/json

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UserInfo-1.json

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application/json

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VerdictOnRule-1.json

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application/json

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Word-1.json

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application/json