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ERIC Number: EJ1168667
Record Type: Journal
Publication Date: 2017-Dec
Pages: 11
Abstractor: As Provided
ISSN: EISSN-2330-8516
CPS-Rater: Automated Sequential Annotation for Conversations in Collaborative Problem-Solving Activities. Research Report. ETS RR-17-58
Hao, Jiangang; Chen, Lei; Flor, Michael; Liu, Lei; von Davier, Alina A.
ETS Research Report Series, Dec 2017
Conversations in collaborative problem-solving activities can be used to probe the collaboration skills of the team members. Annotating the conversations into different collaboration skills by human raters is laborious and time consuming. In this report, we report our work on developing an automated annotation system, CPS-rater, for conversational data from collaborative activities. The linear chain conditional random field method is used to model the sequential dependencies between the turns of the conversations, and the resulting automated annotation system outperforms those systems that do not model the sequential dependency.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A