Learning Named Entity Tagger using Domain-Specific Dictionary

EMNLP 2018 Jingbo Shang • Liyuan Liu • Xiang Ren • Xiaotao Gu • Teng Ren • Jiawei Han

Recent advances in deep neural models allow us to build reliable named entity recognition (NER) systems without handcrafting features. However, such methods require large amounts of manually-labeled training data. There have been efforts on replacing human annotations with distant supervision (in conjunction with external dictionaries), but the generated noisy labels pose significant challenges on learning effective neural models.

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