Tackling Error Propagation through Reinforcement Learning:A Case of Greedy Dependency Parsing
Table 5: Overview of average impact of decision errors
['[EMPTY]', '[BOLD] SL', '[BOLD] RL-O', '[BOLD] RL-R', '[BOLD] RL-M']
Total Loss indicates the number of arc errors in the corpus, Dec. Errors the number of decision errors and Err. Prop. the number of decision errors that were the result of error propagation. This number was obtained by comparing the number of decision errors in the original parse to the number of decision errors that needed to be fixed to obtain the gold parse. If less errors had to be fixed than originally present, we counted the difference as error propagation. Note that fixing errors sometimes leads to new decision errors during the derivation.