Section: Overall Objectives

Overall Objectives

The major long term computational goals of the TALARIS team are:

• The design and implementation of powerful clustering techniques which support both the incremental classification of large amount of heterogeneous textual data and a detailed, supervised and unsupervised, evaluation of the output clusters.

• The creation of a large scale computational semantics framework for French that supports deep semantic analysis and sentence generation.

• The integration and use of this framework in systems interfacing 3D worlds and Natural Language Processing (NLP) technologies e.g., extending a serious game with dialog capabilities or exploiting Natural Language Generation to automate the production of language learning exercices in a 3D setting.

• The creation of efficient inference systems for logics that are capable of representing natural language content and the background knowledge required to support reasoning.

• The integration of language technology and semantic resources into multimedia applications.

• The development of standards for representing multilingual textual information and its interaction with various media.

These computational goals are pursued in the context of theoretical investigations that rigorously map out the required scientific and mathematical context.