### Resumé

We show that rich and accurate knowledge extraction from text can be achieved through the use of this new formalism

Originalsprog | Engelsk |
---|---|

Bogserie | Lecture Notes in Computer Science |

Sider (fra-til) | 170-181 |

ISSN | 0302-9743 |

Status | Udgivet - 2009 |

Begivenhed | Logic, Language, Information and Computation. 16th International Workshop, WoLLIC 2009 - Tokyo, Japan Varighed: 21 jun. 2009 → 24 jun. 2009 Konferencens nummer: 10 |

### Konference

Konference | Logic, Language, Information and Computation. 16th International Workshop, WoLLIC 2009 |
---|---|

Nummer | 10 |

Land | Japan |

By | Tokyo |

Periode | 21/06/2009 → 24/06/2009 |

### Bibliografisk note

Volumne: 5514### Emneord

- logiske grammatikker
- abduktion

### Citer dette

*Lecture Notes in Computer Science*, 170-181.

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*Lecture Notes in Computer Science*, s. 170-181.

**Abductive Logic Grammars.** / Christiansen, Henning; Dahl, Veronica.

Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › peer review

TY - GEN

T1 - Abductive Logic Grammars

AU - Christiansen, Henning

AU - Dahl, Veronica

N1 - Volumne: 5514

PY - 2009

Y1 - 2009

N2 - By extending logic grammars with constraint logic, we give them the ability to create knowledge bases that represent the meaning of an input string. Semantic information is thus defined through extra-grammatical means, and a sentence's meaning logically follows as a by-product of string rewriting. We formalize these ideas, and exemplify them both within and outside first-order logic, and for both fixed and dynamic knowledge bases. Within the latter variety, we consider the usual left-to-right derivations that are traditional in logic grammars, but also -- in a significant departure from the norm -- arbitrary (i.e., order-independent) derivations. We show that rich and accurate knowledge extraction from text can be achieved through the use of this new formalism

AB - By extending logic grammars with constraint logic, we give them the ability to create knowledge bases that represent the meaning of an input string. Semantic information is thus defined through extra-grammatical means, and a sentence's meaning logically follows as a by-product of string rewriting. We formalize these ideas, and exemplify them both within and outside first-order logic, and for both fixed and dynamic knowledge bases. Within the latter variety, we consider the usual left-to-right derivations that are traditional in logic grammars, but also -- in a significant departure from the norm -- arbitrary (i.e., order-independent) derivations. We show that rich and accurate knowledge extraction from text can be achieved through the use of this new formalism

KW - logiske grammatikker

KW - abduktion

KW - logic grammars

KW - abduction

M3 - Conference article

SP - 170

EP - 181

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -