@inproceedings{yao-etal-2023-textual,
    title = "Textual Entailment for Temporal Dependency Graph Parsing",
    author = "Yao, Jiarui  and
      Bethard, Steven  and
      Wright-Bettner, Kristin  and
      Goldner, Eli  and
      Harris, David  and
      Savova, Guergana",
    editor = "Naumann, Tristan  and
      Ben Abacha, Asma  and
      Bethard, Steven  and
      Roberts, Kirk  and
      Rumshisky, Anna",
    booktitle = "Proceedings of the 5th Clinical Natural Language Processing Workshop",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.clinicalnlp-1.25",
    doi = "10.18653/v1/2023.clinicalnlp-1.25",
    pages = "191--199",
    abstract = "We explore temporal dependency graph (TDG) parsing in the clinical domain. We leverage existing annotations on the THYME dataset to semi-automatically construct a TDG corpus. Then we propose a new natural language inference (NLI) approach to TDG parsing, and evaluate it both on general domain TDGs from wikinews and the newly constructed clinical TDG corpus. We achieve competitive performance on general domain TDGs with a much simpler model than prior work. On the clinical TDGs, our method establishes the first result of TDG parsing on clinical data with 0.79/0.88 micro/macro F1.",
}

We explore temporal dependency graph (TDG) parsing in the clinical domain. We leverage existing annotations on the THYME dataset to semi-automatically construct a TDG corpus. Then we propose a new natural language inference (NLI) approach to TDG parsing, and evaluate it both on general domain TDGs from wikinews and the newly constructed clinical TDG corpus. We achieve competitive performance on general domain TDGs with a much simpler model than prior work. On the clinical TDGs, our method establishes the first result of TDG parsing on clinical data with 0.79/0.88 micro/macro F1.
Yao, Jiarui Bethard, Steven Wright-Bettner, Kristin Goldner, Eli Harris, David Savova, Guergana
Textual Entailment for Temporal Dependency Graph Parsing