My Master's Thesis on Comparative Argument Mining (NLP)
-
Updated
Oct 14, 2018 - Jupyter Notebook
My Master's Thesis on Comparative Argument Mining (NLP)
Chatbot of the Decide Madrid 2019 system (with and without arguments).
Code for my thesis about SHAP. Implementation of DecisionTree, SVM, BERT on 2 Datasets Imdb and Argument Mining
Predict the strength of an argument.
Some functionality to browse, retrieve and parse data from AIFdb (http://www.aifdb.org/)
A repository for structured argument annotation via crowdsourcing project (the annotated corpus + the code of the service used for annotation collection).
Novel unified representation to solve all the sub-tasks of argumentation mining
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
Argument analysis, mining, and visualization add-on for Orange3.
Arguebuf is a format defined with Protocol Buffers to encode structured argument graphs.
My Thesis Project Implementation
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".
The code for my bachelor's thesis "Multi-Task Argument Mining"
Explores the use of ML and NLP to identify and track the development of canons (qawāʿid), maxims, and substantive principles in Islamic law
Token Classification task on the Yes We Can dataset
HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant
Bachelor Thesis: Automatic argument extraction in opinion texts in cuban press
Add a description, image, and links to the argument-mining topic page so that developers can more easily learn about it.
To associate your repository with the argument-mining topic, visit your repo's landing page and select "manage topics."