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Name: Ivan Habernal

Type: User

Ivan Habernal's Projects

acl2016-convincing-arguments

Code and data for ACL2016 article "Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM" by Ivan Habernal and Iryna Gurevych"

argmin2016-unshared-task

Supplementary data for the Unshared Task at the 3rd Argument Mining workshop, ACL 2016

argotario

Argotario: a multi-lingual serious game to tackle fallacious argumentation

argument-bioconll-export-example

Example how to export labeled arguments to BIO CoNLL format

argument-reasoning-comprehension-task

The Argument Reasoning Comprehension Task: Source codes & Datasets

argumentation-mining-in-web-discourse

Argumentation Mining in User Generated Web Discourse - Data and tools

blank-peer-review-forms-nlp

A collection of blank peer-review forms for various NLP venues and journals

blank-project-cpp20-cmake-catch2-fmt

Blank C++20 project with CMake, Catch2, and {fmt}

confusion-matrix

Minimalistic Java implementation of a confusion matrix for evaluating learning algorithms, including accuracy, macro F-measure, Cohen's Kappa, and probabilistic confusion matrix

confusion-matrix-python

Simple confusion matrix for evaluating classification experiments in Python3

czkawka

Multi functional app to find duplicates, empty folders, similar images etc.

dkpro-argumentation-minimal

DKPro Argumentation Mining - "minimal" library with typesystem for demonstration pursposes

dkpro-argumentation-tutorial

Example project for reading a corpus annotated with argumentation

dkpro-c4corpus

DKPro C4CorpusTools is a collection of tools for processing CommonCrawl corpus, including Creative Commons license detection, boilerplate removal, language detection, and near-duplicate removal.

dkpro-core-rst

DKPro Core - Rhetorical Structure Theory (RST) typesystem and wrapper for RST parser

dkpro-stanford-pipeline-example

Example annotation pipeline with DKPro Core and Stanford components

dkpro-web-comments

Framework for extracting comments, discussions, and articles across various web sources

embeddings-minimal

Minimal working project (from EMNLP2015 article) for embeddings as features

Source code, data, and supplementary materials for the EMNLP 2015 article: Habernal I. & Gurevych I., "Exploiting Debate Portals for Semi-supervised Argumentation Mining in User-Generated Web Discourse"

emnlp2016-empirical-convincingness

Code and data for EMNLP2016 article "What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation" by Ivan Habernal and Iryna Gurevych