The evolution of the Web 2.0 phenomenon has led to the increased adoption of the RESTful services paradigm. RESTful services often take the form of RSS/Atom feeds and AJAX based l...
Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In par...
Sameer S. Pradhan, Lance A. Ramshaw, Ralph M. Weis...
This paper addresses the question of how to obtain consistent semantic annotation on the basis of a set of noisy texts. Many potential realworld applications of semantic computing...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in t...
Effective usage of multimedia digital libraries has to deal with the problem of building efficient content annotation and retrieval tools. In this paper Multimedia Ontologies, th...
Andrew D. Bagdanov, Marco Bertini, Alberto Del Bim...
Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a lowlevel ...
Eric Zavesky, Zhu Liu, David C. Gibbon, Behzad Sha...
This paper proposes a system to facilitate exchange of information by automatically finding experts, competent in answering a given question. Our objective is to provide an onlin...
This paper focuses on the development of an event driven media sharing repository to facilitate community awareness. In this paper, an event refers to a real-world occurrence that...
In this paper, we propose a novel method for generating engaging multi-modal content automatically from text. Rhetorical Structure Theory (RST) is used to decompose text into disc...