We investigate the effects of adding semantic annotations including word sense hypernyms to the source text for use as an extra source of information in HPSG parse ranking for the English Resource Grammar. The semantic annotations are coarse semantic categories or entries from a distributional thesaurus, assigned either heuristically or by a pre-trained tagger. We test this using two test corpora in different domains with various sources of training data. The best reduces error rate in dependency Fscore by 1% on average, while some methods produce substantial decreases in performance.
REF investigate the addition of semantic annotations in the form of word sense hypernyms, in HPSG parse ranking, reducing error rate in dependency F-score by 1%, while some methods produce substantial decreases in performance.
The Effects of Semantic Annotations on Precision Parse Ranking
SemEval
Computer Science