@inproceedings{zhang-etal-2020-bootstrapping,
    title = "Bootstrapping Named Entity Recognition in {E}-Commerce with Positive Unlabeled Learning",
    author = "Zhang, Hanchu  and
      Hennig, Leonhard  and
      Alt, Christoph  and
      Hu, Changjian  and
      Meng, Yao  and
      Wang, Chao",
    booktitle = "Proceedings of the 3rd Workshop on e-Commerce and NLP",
    month = jul,
    year = "2020",
    address = "Seattle, WA, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.ecnlp-1.1",
    doi = "10.18653/v1/2020.ecnlp-1.1",
    pages = "1--6",
    abstract = "In this work, we introduce a bootstrapped, iterative NER model that integrates a PU learning algorithm for recognizing named entities in a low-resource setting. Our approach combines dictionary-based labeling with syntactically-informed label expansion to efficiently enrich the seed dictionaries. Experimental results on a dataset of manually annotated e-commerce product descriptions demonstrate the effectiveness of the proposed framework.",
}