### Abstract

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.

Original language | English |
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Title of host publication | Long Papers |

Publisher | Association for Computational Linguistics (ACL) |

Pages | 382-391 |

Number of pages | 10 |

ISBN (Print) | 9781937284503 |

Publication status | Published - 2013 Jan 1 |

Event | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria Duration: 2013 Aug 4 → 2013 Aug 9 |

### Publication series

Name | ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
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Volume | 1 |

### Other

Other | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 |
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Country | Bulgaria |

City | Sofia |

Period | 13/8/4 → 13/8/9 |

### ASJC Scopus subject areas

- Language and Linguistics
- Linguistics and Language

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## Cite this

*Long Papers*(pp. 382-391). (ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL).