Skip to content
Classification experiments using discourse markers for classifying argument units into claims and premises
Java
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
classification
.gitignore
LICENSE.txt
NOTICE.txt
README.md

README.md

emnlp15-dim4auc

This repository contains the code used to perform the classification experiments described in section 4.2 of our EMNLP15 paper. Please use the following citation:

@inproceedings{ecklekohlerEtalEMNLP15,
	author = {Judith Eckle-Kohler and Roland Kluge and Iryna Gurevych},
	title = {On the Role of Discourse Markers for Discriminating Claims and Premises in
Argumentative Discourse},
	month = sep,
	year = {2015},
	publisher = {Association for Computational Linguistics},
	address = {Lisbon, Portugal},
	booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language
Processing (EMNLP)},
	pages = {2249-2255},
 url = {http://aclweb.org/anthology/D/D15/D15-1267.pdf}
}

Abstract: This paper presents a study on the role of discourse markers in argumentative discourse. We annotated a German corpus with arguments according to the common claim-premise model of argumentation and performed various statistical analyses regarding the discriminative nature of discourse markers for claims and premises. Our experiments show that particular semantic groups of discourse markers are indicative of either claims or premises and constitute highly predictive features for discriminating between them.

Contact person: Dr. Judith Eckle-Kohler, eckle-kohler@ukp.informatik.tu-darmstadt.de

http://www.ukp.tu-darmstadt.de/

http://www.tu-darmstadt.de/

Don't hesitate to send us an e-mail or report an issue, if something is broken (and it shouldn't be) or if you have further questions.

This repository contains experimental software and is published for the sole purpose of giving additional background details on the respective publication.

Project structure

Requirements

  • Java 1.7 and higher
  • Maven
  • tested on 64-bit Linux versions and Windows 7
  • recommended: 16 GB RAM

Running the experiments

  • runnable classification experiments are in the package experiment; in order to run them, you have to modify the paths to corpus data and results data according to your system and environment
You can’t perform that action at this time.