The Semantic Web: Ultimate Application for Natural Language Generation?

On January 31st and February 1st, Chris Mellish of University of Aberdeen is visiting TALN.

Chris is one of the veterans of Natural Language  Text Generation and NLP-oriented Knowledge Representation.

On 1 February at 15:30, he will give in the research seminar of the department a talk entitled The Semantic Web: Ultimate Application for Natural Language Generation? (Room 52.221). We welcome you all to attend

The Semantic Web: Ultimate Application for Natural Language Generation?

Abstract
The semantic web promises to revolutionise the way that information is
shared globally in a way perhaps as significantly as when the original
world wide web was introduced. The semantic web is primarily about machines
communicating with one another, and yet in the end it is always people
who need to know and trust what is going on. Natural language generation
is one important technique that could help to fill the gap between what
the machines are doing and what the people need or want to know.

This talk briefly introduces the basic structure of the semantic web
and considers whether this is perhaps the perfect application for NLG.
We consider some of the main issues involved in generating language
from semantic web data and what approaches have been used. We also
describe some ongoing projects at Aberdeen which incorporate NLG from
semantic web data.