Behnam Ghavimi

Behnam Ghavimi

Knowledge Technologies for the Social Sciences
Information Extraction & Linking
Employee

Unter Sachsenhausen 6-8
50667 Köln

+49 (0221) 47694 - 251
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Publications

Publication

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Journal article

Ghavimi, Behnam, Philipp Mayr, Christoph Lange, Sahar Vahdati, and Sören Auer. 2016. "A semi-automatic approach for detecting dataset references in social science texts." Information Services and Use 36 (3–4): 171–187. doi: http://dx.doi.org/10.3233/ISU-160816.

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Contribution to edited volume

Körner, Martin, Behnam Ghavimi, Philipp Mayr, Heinrich Hartmann, and Steffen Staab. 2017. "Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications." In New Trends in Databases and Information Systems, 137-145. Springer. doi: http://dx.doi.org/10.1007/978-3-319-67162-8_15.

Ghavimi, Behnam, Philipp Mayr, Sahar Vahdati, and Christoph Lange. 2016 (Forthcoming). "Identifying and Improving Dataset References in Social Sciences Full Text." In In Proceedings of the 20th International Conference on Electronic Publishing. IOS Press, 105-114.

Talk

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Conference contribution

Ghavimi, Behnam, Philipp Mayr, Sahar Vahdati, and Christoph Lange. 2016. "Identifying and Improving Dataset References in Social Sciences Full Texts." 20th International Conference on Electronic Publishing (Positioning and Power in Academic Publishing: Players, Agents and Agendas)

, 07.06.2016.

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Contribution not at conference

Ghavimi, Behnam. 2017. "Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications." ADBIS 2017, 24.09.2017.

Ghavimi, Behnam. 2017. "EXCITE Projekt: Statusbericht." First Linked Open Citation Database (LOC-DB) Workshop, 07.11.2017.