A repository for structured argument annotation via crowdsourcing project (the annotated corpus + the code of the service used for annotation collection).

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

Legal Argument Mining on Italian tax-court decisions (AMELIA dataset) TF-IDF+LR baseline vs BERTino fine-tuning. Macro-F1: 0.922. MD2SL Text Mining & NLP exam project, UniFi.

This repository contains the code and data used for the evaluation paper "Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments"

This repository contains the annotation framework, dataset and code used for the resource paper "TACO -- Twitter Arguments from COnversations".

Example application for applying QLoRA-based Parameter-Efficient Fine-Tuning (PEFT) to a Stance Detection task using Gemma-2-9B-Instruct

Bachelor Thesis: Automatic argument extraction in opinion texts in cuban press

A CLI client to mine arguments and their relations from social media posts

Some functionality to browse, retrieve and parse data from AIFdb (http://www.aifdb.org/)

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.

Argument mining in presidential debates. A paper reproduction experiment

Use LLMs to identify premises and claims within the ECHR dataset.

An ontology for extracting dialectical perspectives from argumentative discourse.

Welcome to the Framework for Mining Arguments repository! This project aims to provide a comprehensive framework for mining arguments from textual data.

Investigating the Impact of Prompt Engineering on LLMs in Argument Mining

Argument Mining

🤖 Phrase-level protagonist detection and role classification in moral discourse.

Arguebuf is a format defined with Protocol Buffers to encode structured argument graphs.

BERT--MINUS--FeaTxt Project for IJCNN 2023