@inproceedings{joseph-etal-2023-newsmet,
    title = "{N}ews{M}et : A {`}do it all{'} Dataset of Contemporary Metaphors in News Headlines",
    author = "Joseph, Rohan  and
      Liu, Timothy  and
      Ng, Aik Beng  and
      See, Simon  and
      Rai, Sunny",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.641",
    doi = "10.18653/v1/2023.findings-acl.641",
    pages = "10090--10104",
    abstract = "Metaphors are highly creative constructs of human language that grow old and eventually die. Popular datasets used for metaphor processing tasks were constructed from dated source texts. In this paper, we propose NewsMet, a large high-quality contemporary dataset of news headlines hand-annotated with metaphorical verbs. The dataset comprises headlines from various sources including political, satirical, reliable and fake. Our dataset serves the purpose of evaluation for the tasks of metaphor interpretation and generation. The experiments reveal several insights and limitations of using LLMs to automate metaphor processing tasks as frequently seen in the recent literature. The dataset is publicly available for research purposes \url{https://github.com/AxleBlaze3/NewsMet_Metaphor_Dataset}.",
}

Metaphors are highly creative constructs of human language that grow old and eventually die. Popular datasets used for metaphor processing tasks were constructed from dated source texts. In this paper, we propose NewsMet, a large high-quality contemporary dataset of news headlines hand-annotated with metaphorical verbs. The dataset comprises headlines from various sources including political, satirical, reliable and fake. Our dataset serves the purpose of evaluation for the tasks of metaphor interpretation and generation. The experiments reveal several insights and limitations of using LLMs to automate metaphor processing tasks as frequently seen in the recent literature. The dataset is publicly available for research purposes \url{https://github.com/AxleBlaze3/NewsMet_Metaphor_Dataset}.
Joseph, Rohan Liu, Timothy Ng, Aik Beng See, Simon Rai, Sunny
NewsMet : A `do it all' Dataset of Contemporary Metaphors in News Headlines