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- Subhro Roy
- University of Illinois, Urbana Champaign,
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- Tim Vieira
- Johns Hopkins University,
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- Dan Roth
- University of Illinois, Urbana Champaign,
書誌事項
- 公開日
- 2015-12
- DOI
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- 10.1162/tacl_a_00118
- 公開者
- MIT Press - Journals
説明
<jats:p> Little work from the Natural Language Processing community has targeted the role of quantities in Natural Language Understanding. This paper takes some key steps towards facilitating reasoning about quantities expressed in natural language. We investigate two different tasks of numerical reasoning. First, we consider Quantity Entailment, a new task formulated to understand the role of quantities in general textual inference tasks. Second, we consider the problem of automatically understanding and solving elementary school math word problems. In order to address these quantitative reasoning problems we first develop a computational approach which we show to successfully recognize and normalize textual expressions of quantities. We then use these capabilities to further develop algorithms to assist reasoning in the context of the aforementioned tasks. </jats:p>
収録刊行物
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- Transactions of the Association for Computational Linguistics
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Transactions of the Association for Computational Linguistics 3 1-13, 2015-12
MIT Press - Journals