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Courses and Workshops
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| Title: | Modelling information structure for computational discourse processing |
| Lecturer(s): | Ivana Kruijff-Korbayová (University of the Saarland) |
| Type: | Advanced Course |
| Section: | Language and Computation |
| Week: | Second | | Time: | 11.00-12.30 (Slot 2) |
| Webpage: | http://www.coli.uni-sb.de/~korbay/
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| Reader: | Download | | Room: | A4 |
Description The goal of the course is to help the participants to orient themselves
in the existing work on Information Structure (IS) and to inspire them
to apply it. The course will explain basic notions, overview the main
approaches to modelling IS, and survey existing attempts employing IS in
computational discourse modelling.
IS concerns utterance-internal structural and semantic properties
reflecting the relation of an utterance to the discourse context. Among
the dichotomies used to describe IS are Theme-Rheme, Topic-Comment,
Topic-Focus, Backround-Focus, Given-New and Contextually Bound-Nonbound.
Languages differ in how they employ various means of IS realization,
such as intonation, word order, syntactic constructions or morphological
marking. Modelling these phenomena and their interaction in the grammar
requires understanding IS and its role in discourse. IS is therefore an
important aspect of meaning at the interface between utterance and
discourse, that computational models of discourse processing should take
into account.
Studying and modelling the interaction of discourse and IS is made
difficult by proliferating and often under-formalized terminologies,
especially for IS. What is needed is further systematization of the
diverse terminologies, formalization, and empirical and corpus-based
studies.
This course is endorsed by SIGSEM, the ACL' Special Interest Group in
Computational Semantics.
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© 2003, 2004 LORIA, Carlos Areces. |
2004-07-07
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