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Authors: Riccardo Contessi ; Paolo Fosci and Giuseppe Psaila

Affiliation: University of Bergamo, DIGIP, Viale Marconi 5, 24044 Dalmine (BG), Italy

Keyword(s): Word Embeddings, Linguistic Analogies, Vector Semantics, Semantic Similarity, NLP.

Abstract: Word Embedding has greatly improved Natural-Language Processing. In word-embedding models, words are represented as vectors in a multi-dimensional space; these vectors are trained through neural networks, by means of very large corpora of textual documents. Linguistic analogies are claimed to be encoded within word-embedding models, in such a way that they can be dealt with through simple vector-offset operations. This paper aims to give an answer to the following research question: given a word-embedding model, are linguistic analogies really present? It seems rather unrealistic that complex semantic relationships are encoded within a word-embedding model, which is trained to encode positional relationships between words. The investigation methodology is presented, and the results are discussed. This leads to the following question: “Linguistic analogies in Word Embeddings: where are they?”.

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Paper citation in several formats:
Contessi, R., Fosci, P. and Psaila, G. (2025). Linguistic Analogies in Word Embeddings: Where Are They?. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-772-6; ISSN 2184-3252, SciTePress, pages 447-458. DOI: 10.5220/0013830300003985

@conference{webist25,
author={Riccardo Contessi and Paolo Fosci and Giuseppe Psaila},
title={Linguistic Analogies in Word Embeddings: Where Are They?},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - WEBIST},
year={2025},
pages={447-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013830300003985},
isbn={978-989-758-772-6},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Web Information Systems and Technologies - WEBIST
TI - Linguistic Analogies in Word Embeddings: Where Are They?
SN - 978-989-758-772-6
IS - 2184-3252
AU - Contessi, R.
AU - Fosci, P.
AU - Psaila, G.
PY - 2025
SP - 447
EP - 458
DO - 10.5220/0013830300003985
PB - SciTePress

- Science and Technology Publications, Lda.
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