id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ngj3u2h4ubaajm7sugmsj4gobi	Rik van Noord	Exploring Neural Methods for Parsing Discourse Representation Structures	2018	16	.pdf	application/pdf	9604	959	62	Exploring Neural Methods for Parsing Discourse Representation Structures https://research.rug.nl/en/publications/exploring-neural-methods-for-parsing-discourse-representation-structures(0abd0fff-f63b-44ff-bd7e-a7dc01acc782).html Semantic parsing is the task of mapping a natural language expression to an interpretable meaning representation. DRSs are recursive structures and thus form a challenge for sequence-tosequence models because they need to generate DRS parsers based on supervised machine learning emerged later (Bos, 2008b; Le and Zuidema, 4. Does adding silver data increase the performance of the neural parser? that can be (re-)trained on individual data sets, using the tokenized sentences of the published silver word-level neural parsers (10-fold CV experiment For factor (ii), we use our own best parser (without silver data) to parse the sentences in the PMB Table 8: Test set results of our best neural models Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, semantic parsing by character-based translation: Experiments with abstract meaning representations.	./cache/work_ngj3u2h4ubaajm7sugmsj4gobi.pdf	./txt/work_ngj3u2h4ubaajm7sugmsj4gobi.txt