SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation
Table 2: Performance results (F1) on the Test data.
['[EMPTY]', '[EMPTY]', 'Token-based', 'Token-based', 'Token-based', 'MWE-based', 'MWE-based', 'MWE-based', '#', 'LVC.full T', 'LVC.full M', 'VID T', 'VID M', 'VPC.full T', 'VPC.full M']
For each language, we present the general token-based and MWE-based precision, recall and F1-measure and also F1-measures for three selected types of MWEs: LVC.full, VID and VPC.full. Token-based and MWE-based F-measures are indicated with T and M respectively in the right side of the table. More details on the results are published by the shared task organisers. According to the table and the results published for the shared task, on average, our system ranked the best among the participating systems in the open track and also its performance is the best among participating systems in both tracks. We report the ranking (#) of our system in comparison with all participating systems in both tracks rather than only the ones in the open track.