12,626 research outputs found
Evolution of a supply chain management game for the trading agent competition
TAC SCM is a supply chain management game for the Trading Agent Competition (TAC). The purpose of TAC is to spur high quality research into realistic trading agent problems. We discuss TAC and TAC SCM: game and competition design, scientific impact, and lessons learnt
Nomination contests: theory and empirical evidence from professional soccer
This paper develops a theory of contests based on perceived abilities, and provides evidence for the predictions of this theory using panel data from professional soccer. We examine how soccer players perform in club matches during the informal)nomination contests for national teams prior to an important international Cup, the Euro 2008. Our differences-in-differences analysis uses players from nonqualified nations who play in the same league as a control group. We find a large positive effect of nomination contest participation on several output measures for players with intermediate chances of being nominated, as proxied by past national team participations. For players with no prior national team experience there is no significant effect. We also find support for the theory that players whose nomination is close to certain reduce their effort in order to avoid injuries or exhaustion prior to the Cup. Finally, any positive reaction is strongest for young players. --
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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