Generating entailment rules from framenet

Roni Ben Aharon; Idan Szpektor; I. Dagan

Generating entailment rules from framenet

Roni Ben Aharon, Idan Szpektor, I. Dagan

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.

Original language	American English
Title of host publication	The ACL 2010 Conference Short Papers
Publisher	Association for Computational Linguistics
State	Published - 2010

Bibliographical note

Place of conference:Uppsala, Sweden

Cite this

@inproceedings{b1b30a5781604858928a2e2f3e37b928,

title = "Generating entailment rules from framenet",

abstract = "Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.",

author = "Aharon, \{Roni Ben\} and Idan Szpektor and I. Dagan",

note = "Place of conference:Uppsala, Sweden",

year = "2010",

language = "American English",

booktitle = "The ACL 2010 Conference Short Papers",

publisher = "Association for Computational Linguistics",

}

TY - GEN

T1 - Generating entailment rules from framenet

AU - Aharon, Roni Ben

AU - Szpektor, Idan

AU - Dagan, I.

N1 - Place of conference:Uppsala, Sweden

PY - 2010

Y1 - 2010

N2 - Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.

AB - Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.

UR - https://scholar.google.co.il/scholar?q=Generating+Entailment+Rules+from+FrameNet&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - The ACL 2010 Conference Short Papers

PB - Association for Computational Linguistics

ER -

Generating entailment rules from framenet

Abstract

Bibliographical note

Other files and links

Fingerprint

Cite this