@inproceedings{luan-etal-2018-uwnlp,
    title = "The {UWNLP} system at {S}em{E}val-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings",
    author = "Luan, Yi  and
      Ostendorf, Mari  and
      Hajishirzi, Hannaneh",
    editor = "Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      May, Jonathan  and
      Shutova, Ekaterina  and
      Bethard, Steven  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2018",
    address = "New Orleans, Louisiana",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/S18-1125/",
    doi = "10.18653/v1/S18-1125",
    pages = "788--792",
    abstract = "This paper describes our submission for SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. Our model is based on the end-to-end relation extraction model of (Miwa and Bansal, 2016) with several enhancements such as character-level encoding attention mechanism on selecting pretrained concept candidate embeddings. Our official submission ranked the second in relation classification task (Subtask 1.1 and Subtask 2 Senerio 2), and the first in the relation extraction task (Subtask 2 Scenario 1)."
}