Knowledge Learning Project (knowledge-learning)

Knowledge Learning Project

knowledge-learning

Geek Repo

A joint research project between the AI group at University of Havana and the DLSI at University of Alicante

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Knowledge Learning Project's repositories

ehealthkd-2020

Docs, data and development scripts for the eHealth-KD Challenge at IberLEF 2020

Language:PythonLicense:MITStargazers:9Issues:5Issues:0

hp-optimization

A framework based on grammatical evolution for automatic pipeline configuration.

Language:PythonLicense:MITStargazers:5Issues:5Issues:0

Digital-Media-Asset

This ontology aims to provide a web semantic standard for representing Digital Media Assets or simply Assets. Digital Media Assets covered by this ontology ranges from Product Assets (like Album, Movie and Book) to the representation of Person and Organisation Assets. It allows to link those products with real contributors and/or enterprises.

snn

Source code for Semantic Neural Networks

Language:Jupyter NotebookLicense:MITStargazers:3Issues:2Issues:0

autobrat

Assisted annotation in BRAT

Language:PythonStargazers:2Issues:4Issues:0

cord19-ann

Semantic annotation model for scientific papers related to COVID-19

data-science-tools

A user-friendly Streamlit app to perform basic data science analysis

Language:PythonLicense:MITStargazers:2Issues:4Issues:0

ehealthkd-2019

Description and development data for the IberLEF 2019 eHealth-KD challenge.

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ehealth-kd

Development data for the TASS-2018 Task 3: eHealth KD competition.

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HLT-Opt

A metaheuristic-based framework for optimizing machine learning pipelines

Language:PythonLicense:MITStargazers:1Issues:3Issues:0

satr-ann

Annotation tools for the SAT+R schema

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ehealthkd-2018-dev

Containerised brat (http://brat.nlplab.org/) with TASS-2018 Task3 ready for tagging

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License:MITStargazers:0Issues:4Issues:0
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License:CC-BY-4.0Stargazers:0Issues:0Issues:0

ml

Base machine learning image and environment.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

Spread-markers

Knowledge base with diffusion markers and diffusion expressions is used to detect these elements in text denoting fake information. If there are terms and structures of dissemination, news may be considered as unreliable.

License:Apache-2.0Stargazers:0Issues:2Issues:0