Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
Table 7: Results on speech conversation texts (§5.4), on the whole test set and the manually annotated subset.
['Method', '[BOLD] Whole P', '[BOLD] Whole R', '[BOLD] Whole F1', '[BOLD] Subset UF1', '[BOLD] Subset LF1']
Though the entire scores are relatively lower, the result suggests that the proposed method is effective to this domain on the whole. By directly evaluating the parser’s performance in terms of predicate argument relations (Subset columns) , we observe that it actually recovers the most of the dependencies, with the fine-tuned depccg achieving as high as 95.63% unlabeled F1 score.