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INRIASAC: Simple Hypernym Extraction Methods

Gregory Grefenstette 1, *
* Corresponding author
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Given a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked first in this 2015 benchmark. We use large quantities of text (English Wikipedia) and simple heuristics such as term overlap and document and sentence co-occurrence to produce hypernym lists. We describe these techniques and pre-sent an initial evaluation of results.
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https://hal.inria.fr/hal-01112844
Contributor : Gregory Grefenstette <>
Submitted on : Wednesday, January 6, 2016 - 9:26:03 AM
Last modification on : Thursday, July 8, 2021 - 3:49:24 AM
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  • HAL Id : hal-01112844, version 2
  • ARXIV : 1502.01271

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Gregory Grefenstette. INRIASAC: Simple Hypernym Extraction Methods. SemEval 2015, Jun 2015, Denver, United States. ⟨hal-01112844v2⟩

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