HyEnA: A Hybrid Method for Extracting Arguments from Opinions

My work on extracting arguments from an opinion corpus using a hybrid (human + AI) approach.

Link to the paper: here

How to cite

@inproceedings{vandermeer2022hyena,
    address = {Amsterdam, the Netherlands},
    author = {van der Meer, Michiel and Liscio, Enrico and Jonker, Catholijn M. and Plaat, Aske and Vossen, Piek and Murukannaiah, Pradeep K.},
    booktitle = {Proceedings of the first International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022)},
    pages = {17--31},
    publisher = {IOS Press},
    title = {HyEnA: A Hybrid Method for Extracting Arguments from Opinions},
    year = {2022}
}

Supplementary material

Description and additional results: Includes a richer description of the HyEnA experiments, including inter-rater reliability (IRR) metrics, the full key argument lists and details on the implementation of the baselines.
Code and data: contains all data and code used in the analysis experiments for HyEnA. It includes the three opinion corpora, as well as the records of annotator actions. This code was partially used to generate the content of the tables in the main paper.
Annotator instructions: consent form - argument annotation - argument consolidation - evaluation - (expert) topic generation - topic assignment
Screenshots: signup page (consent form) - main page - argument annotation - argument consolidation - evaluation - topic assignment

How to cite - supplementary material

@misc{vandermeer2022hyenasuppl
  author={van der Meer, Michiel and Liscio, Enrico and Jonker, Catholijn M and Plaat, Aske and Vossen, Piek and Murukannaiah, Pradeep K},
  title={HyEnA: A Hybrid Method for Extracting Arguments from Opinions: Supplementary Material},
  howpublished={https://liacs.leidenuniv.nl/~meermtvander/publications/hyena/},
  month={3},
  year={2022},
}