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# Modality-Corpus
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This repository contains the data used to evaluate the event-based modality task proposed by Pyatkin et al. (2021).
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This repository contains the data used to evaluate the event-based modality task proposed by [Pyatkin et al. (2021)](https://aclanthology.org/2021.acl-long.77).
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We use the Georgetown Gradable Modal Expressions Corpus (GME) as described by [Rubinstein et al. (2013)](https://www.aclweb.org/anthology/W13-0306.pdf). The corpus is available for search through the [ANNIS interface](http://corpling.uis.georgetown.edu/annis/) (please contact Prof. Paul Portner at [email protected] for access).
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We use the Georgetown Gradable Modal Expressions Corpus (GME) as described by [Rubinstein et al. (2013)](https://www.aclweb.org/anthology/W13-0306). The corpus is available for search through the [ANNIS interface](http://corpling.uis.georgetown.edu/annis/) (please contact Prof. Paul Portner at [email protected] for access).
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The GME Corpus was obtained by expert annotation of the documents included in the MPQA Opinion Corpus ([Wiebe et al., 2005](https://link.springer.com/article/10.1007/s10579-005-7880-9)).
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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/
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## Citation Information
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```
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@InProceedings{pyatkin2021modality,
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author = {Pyatkin, Valentina and Sadde, Shoval and Rubinstein, Aynat and Portner, Paul and Tsarfaty, Reut},
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title = {The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing},
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year = {2021},
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@inproceedings{pyatkin-etal-2021-possible,
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title = "The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing",
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author = "Pyatkin, Valentina and
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Sadde, Shoval and
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Rubinstein, Aynat and
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Portner, Paul and
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Tsarfaty, Reut",
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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)",
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month = aug,
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year = "2021",
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address = "Online",
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publisher = "Association for Computational Linguistics",
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