45,125 research outputs found
Overview of MediaEval 2011 rich speech retrieval task and genre tagging task
The MediaEval 2011 Rich Speech Retrieval Tasks and Genre Tagging Tasks are two new tasks oered in MediaEval 2011 that are designed to explore the development of techniques for semi-professional user generated content (SPUG). They both use the same data set: the MediaEval 2010 Wild Wild Web Tagging Task (ME10WWW). The ME10WWW data set contains Creative Commons licensed video collected from blip.tv in 2009. It was created by the PetaMedia Network of Excellence (http://www.petamedia.eu) in order to test retrieval algorithms for video content as it occurs `in the wild' on the Internet and, in particular, for user contributed multimedia that is embedded within a social network. In this overview paper, we repeat the essential characteristics of the data set, describe the tasks and specify how they are evaluated
Cognitive context and arguments from ontologies for learning
The deployment of learning resources on the web by different experts has resulted in the accessibility of multiple viewpoints about the same topics. In
this work we assume that learning resources are underpinned by ontologies. Different formalizations of domains may result from different contexts, different use of
terminology, incomplete knowledge or conflicting knowledge. We define the notion of cognitive learning context which describes the cognitive context of an agent who refers to multiple and possibly inconsistent ontologies to determine the truth of a proposition. In particular we describe the cognitive states of ambiguity and inconsistency
resulting from incomplete and conflicting ontologies respectively. Conflicts between ontologies can be identified through the derivation of conflicting arguments
about a particular point of view. Arguments can be used to detect inconsistencies between ontologies. They can also be used in a dialogue between a human learner and a software tutor in order to enable the learner to justify her views and detect inconsistencies between her beliefs and the tutor’s own. Two types of arguments are discussed, namely: arguments inferred directly from taxonomic relations
between concepts, and arguments about the necessary an
Towards virtual communities on the Web: Actors and audience
We report about ongoing research in a virtual
reality environment where visitors can interact with
agents that help them to obtain information, to perform
certain transactions and to collaborate with them in order
to get some tasks done. Our environment models a
theatre in our hometown. We discuss attempts to let this
environment evolve into a theatre community where we
do not only have goal-directed visitors, but also visitors
that that are not sure whether they want to buy or just
want information or visitors who just want to look
around. It is shown that we need a multi-user and multiagent
environment to realize our goals. Since our environment
models a theatre it is also interesting to investigate
the roles of performers and audience in this environment.
For that reason we discuss capabilities and personalities of agents. Some notes on the historical development of networked communities are included
A software toolkit for web-based virtual environments based on a shared database
We propose a software toolkit for developing complex web-based user interfaces, incorporating such things as multi-user facilities, virtual environments (VEs), and interface agents. The toolkit is based on a novel software architecture that combines ideas from multi-agent platforms and user interface (UI) architectures. It provides a distributed shared database with publish-subscribe facilities. This enables UI components to observe the state and activities of any other components in the system easily. The system runs in a web-based environment. The toolkit is comprised of several programming and other specification languages, providing a complete suite of systems design languages. We illustrate the toolkit by means of a couple of examples
A Review of Verbal and Non-Verbal Human-Robot Interactive Communication
In this paper, an overview of human-robot interactive communication is
presented, covering verbal as well as non-verbal aspects of human-robot
interaction. Following a historical introduction, and motivation towards fluid
human-robot communication, ten desiderata are proposed, which provide an
organizational axis both of recent as well as of future research on human-robot
communication. Then, the ten desiderata are examined in detail, culminating to
a unifying discussion, and a forward-looking conclusion
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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