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GALACTIC framework io data plugin

GALACTIC core framework

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.

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.

Command Line Tools to manipulate the document_tracking architecture. It allows to train the Miranda algorithm, to use it and the alternative one, the K-Means implementation. It also provides a tool to evaluate the results.

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).

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.

Python tool to analyse and compare Tide Gauge data from online portals.

A Python package to process and represent events from ontologies and semi-structured databases such as Wikidata and Wikipedia.

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.