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seminar-20061023-k-hall [2006/10/24 10:29] (current)
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 +====== Keith Hall: Multilingual Dependency Parsing ======
 +
 +
 +23. 10. 2006
 +Keith Hall (Center for Language and Speech Processing, Johns Hopkins
 +University, USA)
 +Multilingual Dependency Parsing and Applications
 +
 +[[ http://​www.clsp.jhu.edu/​~khall/​talks/​UFALSeminar.pdf | Slidy ]] [[ http://​ufal.mff.cuni.cz/​~bejcek/​SFL/​sfl_2006-10-23_Hall--dep_parsing.wma | audio ]]
 +
 +Abstract: Dependency parsing has recently come to the forefront of
 +interest in the statistical parsing community, culminating in the 2006
 +CoNLL shared task on multilingual dependency parsing. Many of the
 +competing teams made use of the Maximum Spanning Tree (MST) approach
 +pioneered by McDonald and Ribarov (McDonald et al. '05).
 +A disadvantage of the MST approach is that it requires structural scores
 +to be derived from parent-child links. This constrains the parsing models
 +to be based on very local structure; disallowing the explicit modeling of
 +subcategorization and valency as well as far simpler constraints (compound
 +adjectives, etc.).
 +In this talk, I present a two-stage dependency parser which combines a
 +K-best MST algorithm with a reranker. The advantage of such an approach is
 +that the model used by the reranker includes features defined over entire
 +tree structures. I present empirical results showing that "​good"​ parses
 +appear in the first 50 hypotheses generated by the heavily constrained MST
 +models. Furthermore,​ I present reranking results that are competitive with
 +the state-of-the-art parsers. Results are presented for a subset of the
 +CoNLL competition languages as well as English.
 +Finally, I will introduce a framework for the application of dependency
 +parsing to tasks such as Speech Reconstruction and parsing of
 +resource-poor languages.
 +
 +
  

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