40,387 research outputs found
Evaluation of the NLP Components of the OVIS2 Spoken Dialogue System
The NWO Priority Programme Language and Speech Technology is a 5-year
research programme aiming at the development of spoken language information
systems. In the Programme, two alternative natural language processing (NLP)
modules are developed in parallel: a grammar-based (conventional, rule-based)
module and a data-oriented (memory-based, stochastic, DOP) module. In order to
compare the NLP modules, a formal evaluation has been carried out three years
after the start of the Programme. This paper describes the evaluation procedure
and the evaluation results. The grammar-based component performs much better
than the data-oriented one in this comparison.Comment: Proceedings of CLIN 9
On the Development of Adaptive and User-Centred Interactive Multimodal Interfaces
Multimodal systems have attained increased attention in recent years, which has made possible important
improvements in the technologies for recognition, processing, and generation of multimodal information.
However, there are still many issues related to multimodality which are not clear, for example, the
principles that make it possible to resemble human-human multimodal communication. This chapter
focuses on some of the most important challenges that researchers have recently envisioned for future
multimodal interfaces. It also describes current efforts to develop intelligent, adaptive, proactive, portable
and affective multimodal interfaces
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
This paper surveys the current state of the art in Natural Language
Generation (NLG), defined as the task of generating text or speech from
non-linguistic input. A survey of NLG is timely in view of the changes that the
field has undergone over the past decade or so, especially in relation to new
(usually data-driven) methods, as well as new applications of NLG technology.
This survey therefore aims to (a) give an up-to-date synthesis of research on
the core tasks in NLG and the architectures adopted in which such tasks are
organised; (b) highlight a number of relatively recent research topics that
have arisen partly as a result of growing synergies between NLG and other areas
of artificial intelligence; (c) draw attention to the challenges in NLG
evaluation, relating them to similar challenges faced in other areas of Natural
Language Processing, with an emphasis on different evaluation methods and the
relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118
pages, 8 figures, 1 tabl
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