Augmenting wordnet-based inference with argument mapping

I. Szpektor; I Dagan

Augmenting wordnet-based inference with argument mapping

I. Szpektor, I Dagan

Department of Computer Science

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

Abstract

WordNet is a useful resource for lexical inference in applications. Inference over predicates, however, often requires a change in argument positions, which is not specified in WordNet. We propose a novel framework for augmenting WordNet-based inferences over predicates with corresponding argument mappings. We further present a concrete implementation of this framework, which yields substantial improvement to WordNet-based inference.

Original language	American English
Title of host publication	The 2009 Workshop on Applied Textual Inference
Publisher	Association for Computational Linguistics
State	Published - 2009

Bibliographical note

Place of conference:Suntec, Singapore

Cite this

@inproceedings{bbfec2718e194f4099eba4d436894d78,

title = "Augmenting wordnet-based inference with argument mapping",

abstract = "WordNet is a useful resource for lexical inference in applications. Inference over predicates, however, often requires a change in argument positions, which is not specified in WordNet. We propose a novel framework for augmenting WordNet-based inferences over predicates with corresponding argument mappings. We further present a concrete implementation of this framework, which yields substantial improvement to WordNet-based inference.",

author = "I. Szpektor and I Dagan",

note = "Place of conference:Suntec, Singapore",

year = "2009",

language = "American English",

booktitle = "The 2009 Workshop on Applied Textual Inference",

publisher = "Association for Computational Linguistics",

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T1 - Augmenting wordnet-based inference with argument mapping

AU - Szpektor, I.

AU - Dagan, I

N1 - Place of conference:Suntec, Singapore

PY - 2009

Y1 - 2009

N2 - WordNet is a useful resource for lexical inference in applications. Inference over predicates, however, often requires a change in argument positions, which is not specified in WordNet. We propose a novel framework for augmenting WordNet-based inferences over predicates with corresponding argument mappings. We further present a concrete implementation of this framework, which yields substantial improvement to WordNet-based inference.

AB - WordNet is a useful resource for lexical inference in applications. Inference over predicates, however, often requires a change in argument positions, which is not specified in WordNet. We propose a novel framework for augmenting WordNet-based inferences over predicates with corresponding argument mappings. We further present a concrete implementation of this framework, which yields substantial improvement to WordNet-based inference.

UR - https://scholar.google.co.il/scholar?q=Augmenting+Wordnet-based+inference+with+argument+mapping&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - The 2009 Workshop on Applied Textual Inference

PB - Association for Computational Linguistics

ER -

Augmenting wordnet-based inference with argument mapping

Abstract

Bibliographical note

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