首页> 外文会议>Workshop for NLP open source software 2018 >The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD
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The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD

机译:开源NLP软件使用不佳的风险:UKB在基于知识的WSD中无意中处于最新状态

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摘要

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 reproducibility instructions.
机译:UKB是一个开源程序集合,用于执行除其他任务外的基于知识的词义消除歧义(WSD)。自2009年发布以来,它经常在次优设置中开箱即用。我们证明,九年后,这是基于知识的WSD的最新技术。这种情况说明了在没有最佳默认设置和精确的可重复性说明的情况下发布开源NLP软件的陷阱。

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