TY - GEN

T1 - Is a 204 cm man tall or small? Acquisition of numerical common sense from the Web

AU - Narisawa, Katsuma

AU - Watanabe, Yotaro

AU - Mizuno, Junta

AU - Okazaki, Naoaki

AU - Inui, Kentaro

PY - 2013/1/1

Y1 - 2013/1/1

N2 - This paper presents novel methods for modeling numerical common sense: the ability to infer whether a given number (e.g., three billion) is large, small, or normal for a given context (e.g., number of people facing a water shortage). We first discuss the necessity of numerical common sense in solving textual entailment problems. We explore two approaches for acquiring numerical common sense. Both approaches start with extracting numerical expressions and their context from the Web. One approach estimates the distribution of numbers co-occurring within a context and examines whether a given value is large, small, or normal, based on the distribution. Another approach utilizes textual patterns with which speakers explicitly expresses their judgment about the value of a numerical expression. Experimental results demonstrate the effectiveness of both approaches.

AB - This paper presents novel methods for modeling numerical common sense: the ability to infer whether a given number (e.g., three billion) is large, small, or normal for a given context (e.g., number of people facing a water shortage). We first discuss the necessity of numerical common sense in solving textual entailment problems. We explore two approaches for acquiring numerical common sense. Both approaches start with extracting numerical expressions and their context from the Web. One approach estimates the distribution of numbers co-occurring within a context and examines whether a given value is large, small, or normal, based on the distribution. Another approach utilizes textual patterns with which speakers explicitly expresses their judgment about the value of a numerical expression. Experimental results demonstrate the effectiveness of both approaches.

UR - http://www.scopus.com/inward/record.url?scp=84907322041&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907322041&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84907322041

SN - 9781937284503

T3 - ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

SP - 382

EP - 391

BT - Long Papers

PB - Association for Computational Linguistics (ACL)

T2 - 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013

Y2 - 4 August 2013 through 9 August 2013

ER -