Improving cross-lingual model transfer by chunking
Table 4: Comparison of performance of chunk-level transfer parser with the baseline transfer model for English as source language. The results are based target language chunks predicted using chunker trained on 500 sentences.
['Lang', 'UAS with full tree transfer', 'UAS with predicted chunks', 'UAS with gold chunks']
Since, we did not assign any relation type to the intra-chunk head-dependent dependency relations we report the UAS scores only for the full trees. In this table, we report results corresponding to predicted chunks and gold chunks. We have primarily compared the baseline with the performance of transfer parsing with predicted chunks. The bold entries indicates the higher of the UAS values. We have reported the results with gold chunks for reference in order to show the improvement in case gold annotated chunk information is available. We underlined the entries corresponding to the transfer parsers with gold chunks where it gives the highest UAS among the three results corresponding to a language.