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ArgRecSys Team @ UAM photo

argrecsys Goto Github PK

repos: 11.0 gists: 0.0

Name: ArgRecSys Team @ UAM

Type: Organization

Bio: Research team focused on argument-based recommender systems. We are part of the Information Retrieval Group (IRG) at UAM.

Location: Madrid, Spain

ArgRecSys Team @ UAM's Projects

.github icon .github

Description of the ArgRecSys organization.

am-corpora icon am-corpora

A compilation of the most famous/used argument mining corpora in English.

arg-classifier icon arg-classifier

Implementation of a traditional classifier of argumentative components (claims and premises), trained with features/metadata previously extracted from manually annotated argumentative sentences from the citizen proposals available in the Decide Madrid platform.

arg-ir-tool icon arg-ir-tool

ArgIR: Tool for annotation and retrieval of argumentative information from textual content. A case study in the Decide Madrid database. The search runs on Apache Lucene and the results (proposals and comments) are re-ranked according to the number of arguments they have.

arg-min-dl icon arg-min-dl

Deep Learning architectures for solving argument mining tasks.

arg-miner icon arg-miner

This repository contains a simple but efficient implementation of an argument-based recommender system, which makes use of NLP techniques and a taxonomy and lexicon of connectors to extract argument graphs from the proposals and citizen debates available in the Decide Madrid e-participation platform.

argael icon argael

ARGAEL is an open-source Java desktop application designed to maximize the experience and efficiency of the process of annotating and evaluating arguments in large text corpora.

connectors icon connectors

Repository with a two-level taxonomy of argument relations and a relatively large set of linguistic connectors (in English and Spanish) classified with the taxonomy.

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