The USTC_NELSLIP Systems for Trilingual Entity Detection and Linking Tasks at TAC KBP 2016
Table 3: The official Trilingual Entity Discovery Results of our submitted systems in 2016 KBP EDL1 evaluation.
['[BOLD] System', '[BOLD] P', '[BOLD] R', '[BOLD] F']
We have submitted 3 systems to 2016 KBP EDL evaluation. For system 2 and system 3, we use conditional RNN-LM and attention-based encoder-decoder for entity discovery, respectively. We have observed that these models have achieved a quite high precision but relatively low recall rates. As a result, we have submitted another system by merging the results from the systems 2 and 3. This becomes our top-performing system.