Nattapong Sanchan Bangkok University

Debate Entailment Datasets

DEDT (term-based clustering) and DEDX (X-means clustering)

About this dataset

The Debate Entailment Dataset from the Term-based Clustering Approach (DEDT) and the Debate Entailment Dataset from the X-means Clustering Approach (DEDX) were used in the paper An Adoption of a Contradiction Detection Task to Assist the Summarization of Online Debates.

The datasets are stored in XML format; an example is shown here.

Description

The datasets contain the following tag elements:

  1. pair id: the identification number that uniquely identifies each Hypothesis–Text pair.
  2. entailment: the class of the Hypothesis–Text pair, either CONTRADICTION or NON-CONTRADICTION.
  3. bar: the label of a cluster (the bar in Chart Summary) to which this Hypothesis–Text pair belongs.
  4. recidpairs: the identification numbers of Text–Hypothesis pairs in the SSSD dataset.

Download this dataset

If you use this dataset in your work, please cite the paper below. By downloading the datasets, you agree that the data will be used for educational purposes only.

Download DEDX dataset Download DEDT dataset

References

Download this paper (PDF) Download BibTeX

BibTeX entry 
@inproceedings{2020_Sanchan_Bontcheva_Aker,
  author    = {Sanchan, Nattapong and Bontcheva, Kalina and Aker, Ahmet},
  booktitle = {2020 - 5th International Conference on Information Technology (InCIT)},
  title     = {An Adoption of a Contradiction Detection Task to Assist the Summarization of Online Debates},
  year      = {2020},
  pages     = {185--190},
  month     = {Oct},
  doi       = {10.1109/InCIT50588.2020.9310941}
}
Rich-text citation (copy & paste)

N. Sanchan, K. Bontcheva and A. Aker, “An Adoption of a Contradiction Detection Task to Assist the Summarization of Online Debates,” 2020 – 5th International Conference on Information Technology (InCIT), Chonburi, Thailand, 2020, pp. 185–190, doi: 10.1109/InCIT50588.2020.9310941.