Cognitively Motivated Distributional Representations of Meaning

Elias Iosif, Spiros Georgiladakis, Alexandros Potamianos


Abstract
Although meaning is at the core of human cognition, state-of-the-art distributional semantic models (DSMs) are often agnostic to the findings in the area of semantic cognition. In this work, we present a novel type of DSMs motivated by the dual-processing cognitive perspective that is triggered by lexico-semantic activations in the short-term human memory. The proposed model is shown to perform better than state-of-the-art models for computing semantic similarity between words. The fusion of different types of DSMs is also investigated achieving results that are comparable or better than the state-of-the-art. The used corpora along with a set of tools, as well as large repositories of vectorial word representations are made publicly available for four languages (English, German, Italian, and Greek).
Anthology ID:
L16-1195
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1226–1232
Language:
URL:
https://aclanthology.org/L16-1195
DOI:
Bibkey:
Cite (ACL):
Elias Iosif, Spiros Georgiladakis, and Alexandros Potamianos. 2016. Cognitively Motivated Distributional Representations of Meaning. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1226–1232, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Cognitively Motivated Distributional Representations of Meaning (Iosif et al., LREC 2016)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/L16-1195.pdf