Hanchu Zhang author Leonhard Hennig author Christoph Alt author Changjian Hu author Yao Meng author Chao Wang author 2020-jul text Association for Computational Linguistics Seattle, WA, USA conference publication 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. zhang-etal-2020-bootstrapping https://www.aclweb.org/anthology/2020.ecnlp-1.1 2020-jul 1 6