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Owen Rambow

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Solution: use description of trees, not trees (as in TAG) ... Approach: stochastic choice on trees using arborescent & linear language models ... – PowerPoint PPT presentation

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Title: Owen Rambow


1
Owen Rambow
  • 6 Minutes

2
Interests
  • Theory
  • Syntax its representation and computation (TAG),
    and its relation to discourse, prosody, semantics
  • Technologies/Resources
  • Generation sentence planning realization
  • Dependency parsing
  • Dependency corpora
  • Applications
  • Generation applications (reports)
  • Machine translation
  • Dialog systems
  • Summarization

3
Thesis (1994)
  • Formal representation for German syntax
  • Issue combination of fixed and free word-order
  • Solution use description of trees, not trees (as
    in TAG)
  • Current syntax interests Tagalog, Arabic

4
Generation Sentence Planning
  • Work with Lyn Walker
  • Issue choosing syntactic constructions to
    achieve communicative goals in dialog systems
  • Idea use machine learning on preference-ranked
    options
  • Ongoing multimedia/speech output (with Noémie)
  • Open issue individual preferences
  • Summarization?

5
Generation Realization
  • Joint work with Srinivas Bangalore, John Chen
  • Use of declarative TAG grammar (hand-written or
    extracted)
  • Approach stochastic choice on trees using
    arborescent linear language models
  • Open issues factoring of syntactic/lexical
    choice

6
Dependency Parsing
  • Joint work with Alexis Nasr, Srinivas Bangalore,
    John Chen
  • Idea transform TAG trees into FSMs/FSTs
  • Parse yields dependency tree
  • Parse FSMs CKY-style
  • Or, compose FSTs to a single large FST
  • Open issues supertagging, probabilistic model,
    domain adaptation

7
Corpora
  • PropBank (Penn project) annotation of PTB with
    predicate-argument structures
  • Verb-specific arg roles, lexicon
  • Project mapping PropBank to other, more
    semantic forms of annotation (VerbNet, LCS,
    Prague)
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