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compute_dense_vectors Archived

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This software is used to compute dense vectorisations (sentence embeddings) of sequences of sentences of natural text. It is able to handle multilingual documents until the model used is a multilingual one. This relies on the S-BERT architecture, software and models (https://www.sbert.net/). It computes dense vector representations for tokens, lemmas, entities, etc. of your datasets.

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GNU General Public License v3.0 or later

Created on

January 11, 2022

Copy SSH clone URLgit@gitlab.univ-lr.fr:cross-lingual-event-tracking/datasets/dataset_manipulation_tools/compute_dense_vectors.git
Copy HTTPS clone URLhttps://gitlab.univ-lr.fr/cross-lingual-event-tracking/datasets/dataset_manipulation_tools/compute_dense_vectors.git