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Uncovering Noun-Noun Compound Relations by Gamification

机译:通过游戏化发现名词-名词复合关系

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摘要

Can relations described by English noun-noun compounds be adequately captured by prepositions? We attempt to answer this question in a data-driven way, using gamification to annotate a set of about a thousand noun-noun compound examples. Annotators could make a choice out of five prepositions generated with the help of paraphrases found in the Google n-gram corpus. We show that there is substantial agreement among the players of our linguistic annotation game, and that their answers differ in about 50% of raw frequency counts of the Google n-gram corpus. Prepositions can be used to describe the majority of the implicit relations present in noun-noun compounds, but not all relations are captured by natural prepositions and some compounds are not easy to paraphrase with the use of a preposition.
机译:介词可以充分捕获英语名词-名词复合词所描述的关系吗?我们试图以数据驱动的方式回答这个问题,使用游戏化来注释大约一千个名词-名词复合示例集。注释者可以从借助Google n-gram语料库中的释义生成的五个介词中进行选择。我们证明,我们的语言注释游戏的参与者之间存在实质性的共识,并且他们的答案在Google n-gram语料库原始频率计数的大约50%之间有所不同。介词可用于描述名词名词复合物中存在的大多数隐式关系,但并非所有关系都被自然介词所捕获,并且某些复合词不易于使用介词来解释。

著录项

  • 来源
  • 会议地点 Denver CO(US);Vilnius(LT)
  • 作者

    Johan Bos; Malvina Nissim;

  • 作者单位

    Center for Language and Cognition Oude Kijk in 't Jatstraat 26 University of Groningen;

    Center for Language and Cognition Oude Kijk in 't Jatstraat 26 University of Groningen;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
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