@InProceedings{stiefel-vu:2017:Speech-Centric,
  author    = {Stiefel, Moritz  and  Vu, Ngoc Thang},
  title     = {Enriching ASR Lattices with POS Tags for Dependency Parsing},
  booktitle = {Proceedings of the Workshop on Speech-Centric Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {37--47},
  abstract  = {Parsing speech requires a richer representation than 1-best or n-best
	hypotheses, e.g. lattices. Moreover, previous work shows that part-of-speech
	(POS) tags are a valuable resource for parsing. In this paper, we therefore
	explore a joint modeling approach of automatic speech recognition (ASR) and POS
	tagging to enrich ASR word lattices. To that end, we manipulate the ASR process
	from the pronouncing dictionary onward to use word-POS pairs instead of words.
	We evaluate ASR, POS tagging and dependency parsing (DP) performance
	demonstrating a successful lattice-based integration of ASR and POS tagging.},
  url       = {http://www.aclweb.org/anthology/W17-4605}
}