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 ๐Ÿ› 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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