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EDGAR-W2V Embeddings

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Sep 2021Publisher:Zenodo

Authors: Lefteris Loukas; Manos Fergadiotis; Ion Androutsopoulos; Prodromos Malakasiotis;

doi: 10.5281/zenodo.5524357 , 10.5281/zenodo.5524358

EDGAR-W2V Embeddings

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Abstract

EDGAR-W2V: the word embeddings trained on EDGAR-CORPUS. EDGAR-W2V is 200-dimensional and contains a financial vocabulary of 100k tokens, which is also attached. EDGAR-W2V is found in the paper entitled "EDGAR-CORPUS: Billions of Tokens Make The World Go Round", Proceedings of the Workshop on Economics and Natural Language Processing (ECONLP) - co-located with EMNLP 2021

Related Organizations

Institute of Informatics & Telecommunications
Greece

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