IPOD: An Industrial and Professional Occupations Dataset and its Applications to Occupational Data Mining and Analysis
Table 7: Performance stratified by NE tags (EM, F1)
['[EMPTY]', 'FUN EM', 'FUN F1', 'LOC EM', 'LOC F1', 'RES EM', 'RES F1']
CRF and LSTM-CRF perform similarly to each others, and outperform LogReg and LSTM for all three categories, though LSTM model also has a good performance. CRF also shows a significant advantage in classifying RES tags (99.99 EM and 99.99 F1).