Measures for Term and Sentence Relevances: an Evaluation for German

Heike Bieler, Stefanie Dipper


Abstract
Terms, term relevances, and sentence relevances are concepts that figure in many NLP applications, such as Text Summarization. These concepts are implemented in various ways, though. In this paper, we want to shed light on the impact that different implementations can have on the overall performance of the systems. In particular, we examine the interplay between term definitions and sentence-scoring functions. For this, we define a gold standard that ranks sentences according to their significance and evaluate a range of relevant parameters with respect to the gold standard.
Anthology ID:
L08-1353
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/272_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Heike Bieler and Stefanie Dipper. 2008. Measures for Term and Sentence Relevances: an Evaluation for German. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Measures for Term and Sentence Relevances: an Evaluation for German (Bieler & Dipper, LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/272_paper.pdf