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:

ThemePresentersReading 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.