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        <title>Visualising WordNet Embeddings: some preliminary results</title>
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        <namePart type="given">Csaba</namePart>
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            <title>Proceedings of the 10th Global Wordnet Conference</title>
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            <namePart type="given">Piek</namePart>
            <namePart type="family">Vossen</namePart>
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        <name type="personal">
            <namePart type="given">Christiane</namePart>
            <namePart type="family">Fellbaum</namePart>
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    <abstract>AutoExtend is a method for learning unambiguous vector embeddings for word senses. We visualise these word embeddings with t-SNE, which further compresses the vectors to the x,y plane. We show that the t-SNE co-ordinates can be used to reveal interesting semantic relations between word senses, and propose a new method that uses the simple x,y coordinates to compute semantic similarity. This can be used to propose new links and alterations to existing ones in WordNet. We plan to add this approach to the existing toolbox of methods in an attempt to understand learned semantic relations in word embeddings.</abstract>
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%0 Conference Proceedings
%T Visualising WordNet Embeddings: some preliminary results
%A Veres, Csaba
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 10th Global Wordnet Conference
%D 2019
%8 July
%I Global Wordnet Association
%C Wroclaw, Poland
%F veres-2019-visualising
%X AutoExtend is a method for learning unambiguous vector embeddings for word senses. We visualise these word embeddings with t-SNE, which further compresses the vectors to the x,y plane. We show that the t-SNE co-ordinates can be used to reveal interesting semantic relations between word senses, and propose a new method that uses the simple x,y coordinates to compute semantic similarity. This can be used to propose new links and alterations to existing ones in WordNet. We plan to add this approach to the existing toolbox of methods in an attempt to understand learned semantic relations in word embeddings.
%U https://aclanthology.org/2019.gwc-1.20
%P 160-165

Markdown (Informal)

[Visualising WordNet Embeddings: some preliminary results](https://aclanthology.org/2019.gwc-1.20) (Veres, GWC 2019)

• Visualising WordNet Embeddings: some preliminary results (Veres, GWC 2019)

ACL

• Csaba Veres. 2019. Visualising WordNet Embeddings: some preliminary results. In Proceedings of the 10th Global Wordnet Conference, pages 160–165, Wroclaw, Poland. Global Wordnet Association.