@inproceedings{ning-etal-2018-cogcomptime,
    title = "{C}og{C}omp{T}ime: A Tool for Understanding Time in Natural Language",
    author = "Ning, Qiang  and
      Zhou, Ben  and
      Feng, Zhili  and
      Peng, Haoruo  and
      Roth, Dan",
    editor = "Blanco, Eduardo  and
      Lu, Wei",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/D18-2013/",
    doi = "10.18653/v1/D18-2013",
    pages = "72--77",
    abstract = "Automatic extraction of temporal information is important for natural language understanding. It involves two basic tasks: (1) Understanding time expressions that are mentioned explicitly in text (e.g., February 27, 1998 or tomorrow), and (2) Understanding temporal information that is conveyed implicitly via relations. This paper introduces CogCompTime, a system that has these two important functionalities. It incorporates the most recent progress, achieves state-of-the-art performance, and is publicly available at \url{http://cogcomp.org/page/publication_view/844}."
}