Polysemy networks for English homonyms mapped onto Princeton WordNet: Constructed on the basis of sense chaining algorithms

Bond, Francis; Maziarz, Marek; Rudnicka, Ewa

Polysemy networks for English homonyms mapped onto Princeton WordNet: Constructed on the basis of sense chaining algorithms

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Autoři: Bond, Francis ; Maziarz, Marek and Rudnicka, Ewa

Identifikátor: http://hdl.handle.net/11234/1-3796

URL projektu: https://www.researchgate.net/project/Mechanisms-of-Polysemy

URL dema: https://github.com/MarekMaziarz/PolysemyTheories

Odkaz na záznam v: https://aclanthology.org/2021.gwc-1.7/

Datum vydání: 2020-07-28

Typ: lexicalConceptualResource, text

Velikost: 7810911 kb

Jazyky: English

Popis: This package contains polysemy graphs constructed on the basis of different sense chaining algorithms (representing different polysemy theories: prototype, exemplar and radial). The detailed description of all files is contained in the README.md file.

Nakladatel: Wrocław University of Science and Technology, Department of Computational Intelligence

Linguistics and Multilingual Studies, Computational Linguistics Lab

Klíčová slova: polysemy network polysemy theory polysemy prototype exemplar theory radial polysemy WordNet

Kolekce: LRT + Open Submissions Data & Tools

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Licence: Creative Commons - Attribution 4.0 International (CC BY 4.0)

Název: PolysemyTheories-master.zip
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Popis: PolysemyTheories
MD5: 71358b6ad6028697aa9bbf2999afa45f

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PolysemyTheories-master
- LEX-MW-merged-graph-distances.txt101 kB
- README.md2 kB
- mapping.zip24 kB
- POSsplit.zip3 MB
- noPOSsplit.zip3 MB

Název: README.txt
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# PolysemyTheories
All resources are published under the CC-BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/).\
Copyright (c) 2020, Francis Bond, Marek Maziarz and Ewa Rudnicka. All rights reserved.

Description of resources:

1) LEX-MW-merged-graph-distances.txt\
Description: The presented data were obtained through merging information on 25 sample words from two online English dictionaries (Lexico, www.lexico.com, and Merriam-Webster, www.merriam-webster.com). Macro- and microstructures from the dictionaries were manually transformed into graphs, then distances between pairs of WordNet senses in each graph were calculated. We present only the distance information.

    Symbols:\
    lemma - is a sampled word\
    sense1 - first sense from a given pair\
    sense2 - second sense from a given pair\
    distLEX - Dijkstra's distance calculated on Lexico graph\
    distMW - Dijkstra's distance calculated on Merriam-Webster graph\
    distOpti - averaged distance\
    syn1 - s . . .