/Modality-Corpus

A processed version of the GME corpus

Apache License 2.0Apache-2.0

Modality-Corpus

This repository contains the data used to evaluate the event-based modality task proposed by Pyatkin et al. (2021).

We use the Georgetown Gradable Modal Expressions Corpus (GME) as described by Rubinstein et al. (2013). The corpus is available for search through the ANNIS interface (please contact Prof. Paul Portner at Paul.Portner@georgetown.edu for access).

The GME Corpus was obtained by expert annotation of the documents included in the MPQA Opinion Corpus (Wiebe et al., 2005). Prior to downloading our data, you are required to first obtain access to the MPQA Corpus at https://mpqa.cs.pitt.edu/corpora/mpqa_corpus/

Our experiments used a subset of the GME annotations (specifically: modal triggers, associated propositional spans, and modal senses), pre-processed into the CoNLL-formatted file provided in this repository.

Terms of Use

  • By downloading the data on this page the user acknowledges that they have obtained access to the MPQA Corpus.
  • By downloading the data on this page the user acknowledges that their use will be restricted to research and/or academic purposes only.
  • Resources on this page are licensed CC-BY 4.0, a Creative Commons license requiring Attribution (https://creativecommons.org/licenses/by/4.0/).

Citation Information

@inproceedings{pyatkin-etal-2021-possible,
    title = "The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing",
    author = "Pyatkin, Valentina  and
      Sadde, Shoval  and
      Rubinstein, Aynat  and
      Portner, Paul  and
      Tsarfaty, Reut",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.77",
    doi = "10.18653/v1/2021.acl-long.77",
    pages = "953--965"
}

and

@inproceedings{rubinstein2013toward,
  title={Toward fine-grained annotation of modality in text},
  author={Rubinstein, Aynat and Harner, Hillary and Krawczyk, Elizabeth and Simonson, Dan and Katz, Graham and Portner, Paul},
  booktitle={Proceedings of the IWCS 2013 Workshop on Annotation of Modal Meanings in Natural Language (WAMM)},
  pages={38--46},
  year={2013},
  url={https://www.aclweb.org/anthology/W13-0306}
}