Entity Identification as Multitasking

@inproceedings{Stratos2017EntityIA,
  title={Entity Identification as Multitasking},
  author={Karl Stratos},
  booktitle={SPNLP@EMNLP},
  year={2017}
}
Standard approaches in entity identification hard-code boundary detection and type prediction into labels and perform Viterbi. This has two disadvantages: 1. the runtime complexity grows quadratically in the number of types, and 2. there is no natural segment-level representation. In this paper, we propose a neural architecture that addresses these… CONTINUE READING