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E R S V I T I N A U S S S I A S R N A E V I Modeling Information Structure for Computational Discourse and Dialog Processing Ivana Kruijff-Korbayov a korbay@coli.uni-sb.de http://www.coli.uni-sb.de/korbay/esslli04/


  1. E R S V I T I N A U S S S I A S R N A E V I Modeling Information Structure for Computational Discourse and Dialog Processing Ivana Kruijff-Korbayov´ a korbay@coli.uni-sb.de http://www.coli.uni-sb.de/˜korbay/esslli04/ ESSLLI 2004 Advanced Course Nancy, 16-20 August 2004 I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  2. E R S V I T I N A U S 1 S S I A S R N A E V I Lecture 5 Outline • Comparison of IS approaches, aligning terminologies • Practical evaluation • Corpus annotation Reading: • Course Reader: Section 2.1: Two Dimensions of IS • For further reading suggestions see course website I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  3. E R S V I T I N A U S 2 S S I A S R N A E V I Aligning the Approaches to IS I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  4. E R S V I T I N A U S 3 S S I A S R N A E V I Aligning IS Terminologies • Theme-Rheme (Mathesius, Firbas, Daneˇ s, Steedman) Theme-Rheme (Halliday) Topic-Comment (Chomsky) Topic-Focus (Sgall&Hajiˇ cov´ a et al.) Ground-Focus (Vallduv´ ı) • Given-New within information units (Halliday) Tail-Link within Ground (Vallduv´ ı) Background-Focus within Theme and Rheme (Steedman) • CB-NB (Sgall&Hajiˇ cov´ a et al.) • Presupposition-Focus (Chomsky, Jackendoff, Karttunen, Krifka, Rooth, etc.) • Contrastive Topic, Focus Proper (Sgall&Hajiˇ cov´ a et al.) Kontrast (Vallduv´ ı and Vilkuna) I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  5. E R S V I T I N A U S 4 S S I A S R N A E V I Mathesius, Firbas, Theme vs. Rheme Daneˇ s Sgall et al. Topic (CB) vs. Focus (NB) topic proper vs. contrastive topic focus proper communicative dynamism Jackendoff, Krifka Preupposition vs. Focus Rooth Vallduv´ ı Ground vs. Focus Tail vs. Link (Kontrast) Kontrast Steedman Theme vs. Rheme Background vs. Focus Background vs. Focus Halliday Given vs. New Given vs. New I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  6. E R S V I T I N A U S 5 S S I A S R N A E V I Aligning IS Terminologies But, be aware of differences concerning: • level(s) at which IS distinctions are made, e.g., surface vs. deep structure, logical form . . . • flexible vs. fixed syntactic constituents, and how do IS components correspond to them • multiple “foci”, discontinuity of IS components • IS-boundary at main clause level vs. “deeper” • focus projection • degree of recursivity of IS notions (if any) • IS in complex sentences • . . . I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  7. E R S V I T I N A U S 6 S S I A S R N A E V I “Flexible Constituents” (1) I know which result Marcel predicted. But which result did Marcel prove? Marcel completeness . proved L+H* LH% H* LL% � �� � � �� � � �� � Background F ocus F ocus � �� � � �� � Rheme T heme (2) I know that this car is a Porsche . But what is the make of your other car? My car is a Porsche other also L+H* LH% H* LL% � �� � � �� � ���� � �� � � �� � Background F ocus Background F ocus Background � �� � � �� � T heme Rheme I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  8. E R S V I T I N A U S 7 S S I A S R N A E V I “Flexible Constituents” (Steedman, 2000b; Steedman, 2000a) (3) ⋆ (Three mathematicians ) (in ten derive a lemma ). L+H*LH% H*LL% (4) ⋆ (Seymour prefers the nuts ) (and bolts approach ). L+H*LH% H*LL% (5) ⋆ (They only asked whether I knew the woman who chaired ) (the zoning board). L+H*LH% H*LL% I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

  9. E R S V I T I N A U S 8 S S I A S R N A E V I Multiple Foci (6) I know what Marcel gave to Harry. But what did Charles give to Fred ? gave a book to Fred Charles L+H* LH% H* L L+H* LH% � �� � � �� � � �� � � �� � F ocus Background F ocus F ocus � �� � � �� � � �� � Rheme T heme T heme (7) I know what Marcel gave to Harry. But who gave what to Fred ? gave a book to Fred Charles H* L H* L L+H* LH% � �� � � �� � � �� � � �� � F ocus Background F ocus F ocus � �� � � �� � � �� � � �� � Rheme Rheme T heme T heme I.Kruijff-Korbayov´ a Modeling IS for Computational Processing: Lecture 5 ESSLLI 2004

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