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UoS: a graph-based system for graded word sense induction

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journal contribution
posted on 2023-06-08, 15:12 authored by David Hope, Bill Keller
This paper presents UoS, a graph-based Word Sense Induction system which attempts to find all applicable senses of a target word given its context, grading each sense according to its suitability to the context. Senses of a target word are induced through use of a non-parameterised, linear-time clustering algorithm that returns maximal quasi-strongly connected components of a target word graph in which vertex pairs are assigned to the same cluster if either vertex has the highest edge weight to the other. UoS participated in SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses. Two system were submitted; both systems returned results comparable with those of the best performing systems.

History

Publication status

  • Published

File Version

  • Published version

Journal

Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

Publisher

The Association for Computational Linguistics

Page range

689-694

Event name

Second Joint Conference on Lexical and Computational Semantics (*SEM)

Event location

Atlanta, Georgia, USA

Event type

workshop

Event date

2013

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2015-02-27

First Open Access (FOA) Date

2015-02-27

First Compliant Deposit (FCD) Date

2013-06-10

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