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Active Expert Learning for the Digital Humanities

Alghamdi, A and Bonin, F and Ekbal, A and Saha, S and Cavulli, F and Tonelli, S and Poesio, M and Kruschwitz, U (2014) Active Expert Learning for the Digital Humanities. In: Semantic technologies for research in the humanities and social sciences (STRiX), ? - ?, Gothenburg, Sweden.

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Abstract

Current platforms for paper sharing among scholars, such as Research Gate, could support Active Expert Learning, whereby the paper being uploaded is processed using human language technology techniques, and feedback is asked of the scholar doing the upload using active learning techniques to minimize the amount of feedback requested. We show that this approach could outperform traditional active learning as well as randomly asking for feedback.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: named entity recognition, active learning, e-science
Subjects: L Education > L Education (General)
P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 21 Aug 2015 11:01
Last Modified: 17 Aug 2017 17:34
URI: http://repository.essex.ac.uk/id/eprint/14592

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