The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD
May 11, 2018 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Eneko Agirre, Oier Lรณpez de Lacalle, Aitor Soroa
arXiv ID
1805.04277
Category
cs.CL: Computation & Language
Citations
36
Venue
arXiv.org
Last Checked
4 months ago
Abstract
UKB is an open source collection of programs for performing, among other tasks, knowledge-based Word Sense Disambiguation (WSD). Since it was released in 2009 it has been often used out-of-the-box in sub-optimal settings. We show that nine years later it is the state-of-the-art on knowledge-based WSD. This case shows the pitfalls of releasing open source NLP software without optimal default settings and precise instructions for reproducibility.
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