Abstract
Automatic natural language generation (NLG) is a difficult problem already when merely trying to come up with natural-sounding utterances. Ubiquituous applications, in particular companion technologies, pose the additional challenge of flexible adaptation to a user or a situation. This requires optimizing complex objectives such as information density, in combinatorial search spaces described using declarative input languages. We believe that AI search and planning is a natural match for these problems, and could substantially contribute to solving them effectively. We illustrate this using a concrete example NLG framework, give a summary of the relevant optimization objectives, and provide an initial list of research challenges.
Originalsprog | Engelsk |
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Tidsskrift | KI - Kunstliche Intelligenz |
Vol/bind | 30 |
Udgave nummer | 1 |
Sider (fra-til) | 63-69 |
Antal sider | 7 |
ISSN | 0933-1875 |
DOI | |
Status | Udgivet - 1 feb. 2016 |
Udgivet eksternt | Ja |