How Large Are Lions? Inducing Distributions over Quantitative Attributes
How Large Are Lions? Inducing Distributions over Quantitative Attributes
复制标题
狮子有多大？
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
D. Roth
中科院分区：
文献类型：
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作者：
Yanai Elazar;A. Mahabal;Deepak Ramachandran;Tania Bedrax;D. Roth
大多数当前的NLP系统对对象和事件的定量属性几乎没有了解。我们称之为定量分布的对象，形容词和动词（DOQ）与该领域的最新工作形成鲜明对比仅进行相对比较，例如“狮子比狼大吗？”。
Most current NLP systems have little knowledge about quantitative attributes of objects and events. We propose an unsupervised method for collecting quantitative information from large amounts of web data, and use it to create a new, very large resource consisting of distributions over physical quantities associated with objects, adjectives, and verbs which we call Distributions over Quantitative (DoQ). This contrasts with recent work in this area which has focused on making only relative comparisons such as “Is a lion bigger than a wolf?”. Our evaluation shows that DoQ compares favorably with state of the art results on existing datasets for relative comparisons of nouns and adjectives, and on a new dataset we introduce.