TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation

Adrien Bougouin, Sabine Barreaux, Laurent Romary, Florian Boudin, Béatrice Daille


Abstract
Keyphrase extraction is the task of finding phrases that represent the important content of a document. The main aim of keyphrase extraction is to propose textual units that represent the most important topics developed in a document. The output keyphrases of automatic keyphrase extraction methods for test documents are typically evaluated by comparing them to manually assigned reference keyphrases. Each output keyphrase is considered correct if it matches one of the reference keyphrases. However, the choice of the appropriate textual unit (keyphrase) for a topic is sometimes subjective and evaluating by exact matching underestimates the performance. This paper presents a dataset of evaluation scores assigned to automatically extracted keyphrases by human evaluators. Along with the reference keyphrases, the manual evaluations can be used to validate new evaluation measures. Indeed, an evaluation measure that is highly correlated to the manual evaluation is appropriate for the evaluation of automatic keyphrase extraction methods.
Anthology ID:
L16-1304
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1924–1927
Language:
URL:
https://aclanthology.org/L16-1304
DOI:
Bibkey:
Cite (ACL):
Adrien Bougouin, Sabine Barreaux, Laurent Romary, Florian Boudin, and Béatrice Daille. 2016. TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1924–1927, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation (Bougouin et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1304.pdf