ACL/HCSNet Advanced Program in Natural Language Processing University of Melbourne, 10-14 July 2006

This page contains links to the slides and other materials prepared by the presenters.

Materials

The material will be organised around four themes: NLP/IR; discourse & dialogue; lexical semantics; and probabilistic parsing, and will be presented by internationally recognised experts in each area:

Theme	Presenters	Reading Material
NLP/IR	Sophia Ananiadou (Manchester) Terminology Management and Information Extraction for Biology Francis Bond (NTT Japan) Machine Translation Inderjeet Mani (MITRE and Brandeis) Temporal Information Extraction Alistair Moffat (Melbourne) Information Retrieval Nuts and Bolts	Not Available Yet Intro Systems Slides Not Available Yet
Discourse & Dialogue	Ivana Kruijff-Korbayova (Saarland) Information Structure and its Use for Context-Sensitive Information Presentation Diane Litman (Pittsburgh) Learning Optimal Strategies for Spoken Dialogue Systems Michael Strube (EML Research) Statistical Approaches to Coreference Resolution: Data, Representation, Knowledge David Traum (USC) Approaches to Dialogue Systems and Dialogue Management; Aspects of Information State for Dialogue with Virtual Humans	Presentation Background Papers Slides Not Available Yet
Lexical Semantics	Collin Baker (Berkeley) Frame Semantics, Constructions, and the FrameNet Lexical Database Timothy Baldwin (Melbourne) Introduction to Lexical Semantics and Semantic Language Resources; Learning Lexical Semantic Representations Paul Buitelaar (DFKI) Lexical Semantics and Ontologies James Curran (Sydney) Approximating Semantic Similarity with Distributional Similarity Graeme Hirst (Toronto) Lexical Similarity Based on Lexicographic Resources	Papers Slides Slides1 Slides2 Slides Slides Slides
Probabilistic Parsing	Stephen Clark (Oxford) Statistical Parsing with Combinatory Categorial Grammar James Curran (Sydney) Introduction to Statistical Parsing Anoop Sarkar (Simon Fraser) Parsing with Tree-Adjoining Grammars Steven Bird (Melbourne University) Parsing with the Natural Language Toolkit	Slides1 Slides2 Refs Slides Slides1 Slides2 Not Available Yet

More reading material will be added as soon as the organizers receive them, please stay tuned.