| tuna |
Description |
<p>TUNA is a research project funded by the UK's Engineering and Physical Sciences
Research Council (EPSRC). Natural Language Generation programs generate text from
an underlying Knowledge Base. It can be difficult to find a mapping from the information
in the Knowledge Base to the words in a sentence, for example, when the Knowledge
Base uses‘names’ such as‘#Jones083’ that a hearer/reader does
not understand, or has concepts which do not have their own names. (e.g., a specific
tree or a chair). In all such cases, the program has to“invent” a description
that enables the reader to identify the referent.</p><p>Existing algorithms tend to
focus on one particular class of referring expressions, for example conjunctions of
atomic or relational properties (e.g.,‘the black dog’,‘the book
on the table’). Our research is aimed at designing and implementing a new algorithm
generates appropriate descriptions in a far greater variety of situations. The algorithm
will be more complete, and generate expressions that are more appropriate because
it will be based on empirical studies involving corpora and controlled experiments.
Thus the project combines (psycho)linguistic, computational and logical challenges. </p> |