# Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

Authors: Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Venue: Proceedings of the 57th Conference of the Association for Computational Linguistics, {ACL} 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers (2019)

## Abstract
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding and interacting with humans in helpful ways have become ubiquitous. We now expect them to discuss with us the more delicate questions in our world, and they should do so armed with effective arguments. But what makes an argument more persuasive? What will convince you? In this paper, we present a new data set, IBM-EviConv, of pairs of evidence labeled for convincingness, designed to be more challenging than existing alternatives. We also propose a Siamese neural network architecture shown to outperform several baselines on both a prior convincingness data set and our own. Finally, we provide insights into our experimental results and the various kinds of argumentative value our method is capable of detecting.

## Links
- arXiv: https://arxiv.org/abs/1907.08971
- PDF: https://arxiv.org/pdf/1907.08971
- HTML: https://ar5iv.labs.arxiv.org/html/1907.08971
- Hugging Face: https://huggingface.co/papers/1907.08971
- alphaXiv: https://www.alphaxiv.org/abs/1907.08971
- DOI: https://doi.org/10.18653/V1/P19-1093
- ACL Anthology: https://aclanthology.org/P19-1093/
- Semantic Scholar: https://www.semanticscholar.org/paper/196211654
- Publisher: https://doi.org/10.18653/v1/p19-1093

## How to cite
@inproceedings{DBLP:conf/acl/GleizeSCDMAS19,
author       = {Martin Gleize and
                  Eyal Shnarch and
                  Leshem Choshen and
                  Lena Dankin and
                  Guy Moshkowich and
                  Ranit Aharonov and
                  Noam Slonim},
  editor       = {Anna Korhonen and
                  David R. Traum and
                  Llu{\'{\i}}s M{\`{a}}rquez},
  title        = {Are You Convinced? Choosing the More Convincing Evidence with a Siamese
                  Network},
  booktitle    = {Proceedings of the 57th Conference of the Association for Computational
                  Linguistics, {ACL} 2019, Florence, Italy, July 28- August 2, 2019,
                  Volume 1: Long Papers},
  pages        = {967--976},
  publisher    = {Association for Computational Linguistics},
  year         = {2019},
  url          = {https://doi.org/10.18653/v1/p19-1093},
  doi          = {10.18653/V1/P19-1093},
  timestamp    = {Fri, 06 Aug 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/acl/GleizeSCDMAS19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}