README.md

metadata

license: cc-by-sa-4.0
language:
  - en
tags:
  - MWE
  - multiword expression
extra_gated_prompt: >-
  To prevent leaking the dataset to the training data of future models, it
  should not be distributed on the open web.
extra_gated_fields:
  I agree not to make the CoAM dataset, or any part of it, available on the open web: checkbox

CoAM is a dataset for multiword expression (MWE) identification, comprising 1.3K English sentences. The name stands for the Corpus of All-Type Multiword Expressions, where "types" refer to MWE categories such as Noun and Verb.

The construction process of CoAM and experiments using CoAM are described in our paper, which is accepted to ACL 2025. Please consider citing it when you use the dataset.

@misc{ide2024coam,
      title={CoAM: Corpus of All-Type Multiword Expressions},
      author={Yusuke Ide and Joshua Tanner and Adam Nohejl and Jacob Hoffman and Justin Vasselli and Hidetaka Kamigaito and Taro Watanabe},
      year={2024},
      eprint={2412.18151},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.18151},
}

Release notes

v1.1 (Latest)

• Changed the spaCy model from en_core_web_lg to en_core_web_trf.
• Annotated sentences sourced from UD with MWE types.
• Manually corrected type tagging errors.
• Changed indexing from 1-based to 0-based.

v1.0

• Initial version.
• Used for the v1 paper published on arXiv.