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Autor:
Sándor, Ágnes; Vorndran, Angela:

Titel:
Detecting key sentences for automatic assistance in peer reviewing research articles in educational sciences.

Quelle:
In: Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, ACL-IJCNLP 2009, Suntec, Singapore, 7 August 2009 Singapore : National University of Singapore (2009) , S. 36-44

URL des Volltextes:
http://140.116.245.248/ACL-IJCNLP-2009/NLPIR4DL/pdf/NLPIR4DL05.pdf

Sprache:
Englisch

Dokumenttyp:
Monographieauszug; Sammelwerk/Tagungsband/referiert

Schlagwörter:
Erziehungswissenschaft, Publikation, Heterogenität, Gutachten, Evaluation, Strukturanalyse, Textanalyse, Semantik, Automation, Informationsverarbeitung, Methode


Abstract(englisch):
The evaluation of scientific performance isgaining importance in all research disciplines.The basic process of the evaluation is peer reviewing, which is a time-consuming activity. In order to facilitate and speed up peerreviewing processes we have developed anexploratory NLP system in the field of educationalsciences. The system highlights keysentences, which are supposed to reflect themost important threads of the article. The highlighted sentences offer guidance on thecontent-level while structural elements - thetitle, abstract, keywords, section headings - give an orientation about the design of the argumentationin the article. The system is implementedusing a discourse analysis modulecalled concept matching applied on top of theXerox Incremental Parser, a rule-based dependency parser. The first results are promisingand indicate the directions for the futuredevelopment of the system.(DIPF/Orig.)


DIPF-Abteilung:
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last modified Nov 11, 2016