@inproceedings{elsahar-etal-2017-high,
    title = "High Recall Open {IE} for Relation Discovery",
    author = "Elsahar, Hady  and
      Gravier, Christophe  and
      Laforest, Frederique",
    editor = "Kondrak, Greg  and
      Watanabe, Taro",
    booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2017",
    address = "Taipei, Taiwan",
    publisher = "Asian Federation of Natural Language Processing",
    url = "https://preview.aclanthology.org/ingest-emnlp/I17-2039/",
    pages = "228--233",
    abstract = "Relation Discovery discovers predicates (relation types) from a text corpus relying on the co-occurrence of two named entities in the same sentence. This is a very narrowing constraint: it represents only a small fraction of all relation mentions in practice. In this paper we propose a high recall approach for Open IE, which enables covering up to 16 times more sentences in a large corpus. Comparison against OpenIE systems shows that our proposed approach achieves 28{\%} improvement over the highest recall OpenIE system and 6{\%} improvement in precision than the same system."
}