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LBM IFS pour solides elastiques Reprise des travaux de SM dans le but d'alleer la charge memoire point de depart : le code prealablement developpe par EL. Le passage au 3D sera plus facile

Python framework to identify and rank crisis-related tweets based on their informativeness.

This competition proposes to improve / denoise OCR-ed texts, on a testbed of more than 20 million characters form English, French, German, Finish, Spanish, Dutch, Czech, Bulgarian, Slovak and Polish.

Module personnalisé de gestion de cinéma pour Odoo

Annotation tool to check whether the annotation of a Corpus (document_tracking_resources) are correct and truthful.

Process documents in order to extract tokens, lemmas and named entities from texts. This software depends on spaCy (https://spacy.io/) in order to extract text features and recognise the inner elements.

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.

This software is used to compute TF IDF weighting from texts that are based on the document_tracking_resources format. Vectors and weightings are computed thanks to a resource file that contains a representation of the language used in the same context as the text to weight (news features to weight texts published in the news).

This software enables to damage texts written in any natural language by applying OCR degradation (phantom characters, character degradation, etc.) and by over-segmenting texts (this means splitting regularly the texts in equal parts).

This is useful to reproduce common errors found in historical documents when historical data is missing.

Implementation of algorithms to detect and track events reported in the news. It provides two alternatives, one supervised, the other unsupervised to track events in the texts.