Welcome to the Framework for Mining Arguments repository! This project aims to provide a comprehensive framework for mining arguments from textual data.
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Updated
May 17, 2024 - Python
Welcome to the Framework for Mining Arguments repository! This project aims to provide a comprehensive framework for mining arguments from textual data.
A CLI client to mine arguments and their relations from social media posts
Evaluating the robustness of machine learning models for the NLP task of argument mining
Arguebuf is a format defined with Protocol Buffers to encode structured argument graphs.
Deep Learning architectures for solving argument mining tasks.
This repository contains the annotation framework, dataset and code used for the resource paper "TACO -- Twitter Arguments from COnversations".
Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining
Multimodal Fallacy Classification in Political Debates: Dataset and Experiments.
Machine Learning scripts for the identification of human values behind arguments.
Implementation of the Paper "Towards an Automated Argument Mining Pipeline to Transform Plain Text to Argument Graphs"
This repository contains the code used for the method paper "BERTweet’s TACO Fiesta: Contrasting Flavors On The Path Of Inference And Information-Driven Argument Mining On Twitter".
Analyzing and scoring reasoning traces of LLMs
Official repository of the paper: "Multimodal Argument Mining: A Case Study in Political Debates"
Argument analysis, mining, and visualization add-on for Orange3.
Bachelor Thesis: Automatic argument extraction in opinion texts in cuban press
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.
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.
ImageArg Shared Task 2023, co-located with The 10th ArgMining Workshop at EMNLP 2023.
Token Classification task on the Yes We Can dataset
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