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The following topics are dealt with: semantic computing; text understanding and natural language processing; modeling, services and software engineering; content-based retrieval and semantic annotation of multimedia contents; knowledge engineering and data mining; multimedia, audio, and visual semantics; semantic Web; concept-based multimedia mining and retrieval; multimedia knowledge management and...
This paper presents a robust classification of dialog acts from text utterances. Two different types, namely, bag-of-words and syntactic relationship among words, were used to extract the discourse level features from the transcript of utterances. Subsequently a number of feature mining methods have been used to identify the most relevant features and their roles in classifying dialog acts. The selected...
We propose and evaluate a linguistically motivated approach to extracting temporal structure necessary to build a timeline. We considered pairs of events in a verb-clause construction, where the first event is a verb and the second event is the head of a clausal argument to that verb. We selected all pairs of events in the TimeBank that participated in verb-clause constructions and annotated them...
One of the ultimate goals of natural language processing (NLP) systems is understanding the meaning of what is being transmitted, irrespective of the medium (e.g., written versus spoken) or the form (e.g., static documents versus dynamic dialogues). Although much work has been done in traditional language domains such as speech and static written text, little has yet been done in the newer communication...
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 discourse units and to identify rhetorical discourse relations between them. Rhetorical relations are then mapped to question-answer pairs in an information preserving way, i.e., the original text and the resulting dialogue convey...
A kind of dynamic opcode n-gram software birthmark is proposed in this paper based on Myles' software birthmark (in which static opcode n-gram set is regarded as the software birthmark). The dynamic opcode n-gram set is regarded as the software birthmark which is extracted from the dynamic executable instruction sequence of the program. And the new birthmark can not only keep the advantages of feature...
Computer algebra system (CAS) applications are mathematical applications developed with the purpose of solving mathematical problems which are too difficult or even impossible to solve by hand. Modern versions of CAS applications are known for their rather large set of features such as support for graphical representations of results, symbolic manipulation, big-integer calculations, and complex-number...
This paper presents a complete study for the specification and mechanical verification of cases retrieval systems (CRS) within the generic framework that supports the many-to-many connection of formal development environments and model checkers. We aim at combining on an example, refinement techniques, verification by theorem proving and model checking in an entire development, to guarantee software...
Enterprise resource planning (ERP) system is one of the most widely accepted choices to gain competitive edge for manufacturing related enterprises. However, the rate of successful implementation is lower than expected. One of the main reasons is that there is a gap between application domain and software discipline. In this paper, a methodology is proposed to procure the requirements for ERP software,...
Traditional methods for event segmentation of photo streams use time and/or content-based information. In this paper, we present event segmentation from a novel perspective. We propose to segment photo streams in events based on the scene brightness of photos by assuming that big scene brightness change implies an event transition of interest. The scene brightness is derived from camera parameters...
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 sets and multilingual linguistic resources, applying text retrieval approaches for image features, and establishing synergy between multiple concepts through undirected graphical models. No single approach provides a consistently...
With the success of blogs as popular information sharing media, searches on blogs have become popular. In the blogosphere, tagging is used as a means of annotating blog entries with contextually meaningful keywords, which enable users more easily locate blog content. Yet, although tags provided by bloggers are effective for organizing blog entries, in many cases, they are not always sufficient in...
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