@inproceedings{xu-etal-2018-automatic,
    title = "Automatic Extraction of Commonsense {L}ocated{N}ear Knowledge",
    author = "Xu, Frank F.  and
      Lin, Bill Yuchen  and
      Zhu, Kenny",
    editor = "Gurevych, Iryna  and
      Miyao, Yusuke",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/P18-2016/",
    doi = "10.18653/v1/P18-2016",
    pages = "96--101",
    abstract = "LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life. In this paper, we study how to automatically extract such relationship through a sentence-level relation classifier and aggregating the scores of entity pairs from a large corpus. Also, we release two benchmark datasets for evaluation and future research."
}