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Exploiting and Evaluating a Supervised, Multilanguage Keyphrase Extraction Pipeline for Under-Resourced Languages
2017
RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning
This paper evaluates different techniques for building a supervised, multilanguage keyphrase extraction pipeline for languages which lack a gold standard. Starting from an unsupervised English keyphrase extraction pipeline, we implement pipelines for Arabic, Italian, Portuguese, and Romanian, and we build test collections for languages which lack one. Then, we add a Machine Learning module trained on a well-known English language corpus and we evaluate the performance not only over English but
doi:10.26615/978-954-452-049-6_012
dblp:conf/ranlp/BasaldellaHAPST17
fatcat:x5qlfaivkffvho3eapxhsxtyo4