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    <titleInfo>
        <title>Reasoning about Quantities in Natural Language</title>
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    <name type="personal">
        <namePart type="given">Subhro</namePart>
        <namePart type="family">Roy</namePart>
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    <abstract>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.</abstract>
    <identifier type="citekey">roy-etal-2015-reasoning</identifier>
    <identifier type="doi">10.1162/tacl_a_00118</identifier>
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        <url>https://aclanthology.org/Q15-1001</url>
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    <part>
        <date>2015</date>
        <detail type="volume"><number>3</number></detail>
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            <start>1</start>
            <end>13</end>
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%0 Journal Article
%T Reasoning about Quantities in Natural Language
%A Roy, Subhro
%A Vieira, Tim
%A Roth, Dan
%J Transactions of the Association for Computational Linguistics
%D 2015
%V 3
%I MIT Press
%C Cambridge, MA
%F roy-etal-2015-reasoning
%X 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.
%R 10.1162/tacl_a_00118
%U https://aclanthology.org/Q15-1001
%U https://doi.org/10.1162/tacl_a_00118
%P 1-13

Markdown (Informal)

[Reasoning about Quantities in Natural Language](https://aclanthology.org/Q15-1001) (Roy et al., TACL 2015)

• Reasoning about Quantities in Natural Language (Roy et al., TACL 2015)

ACL

• Subhro Roy, Tim Vieira, and Dan Roth. 2015. Reasoning about Quantities in Natural Language. Transactions of the Association for Computational Linguistics, 3:1–13.