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Analysis of sentiment expressed in political systems' communication over long periods of time has been difficult. This research illustrates a method based on network analysis, the Sentiment Network Analyzer (SNAZ). It identifies weighted shortest paths between seed words and 3,500 target sentiment words as these occur in semantic networks extracted from open-source documents sliced into time intervals...
Identifying cultural discrepancies in worldviews is of high priority to Cultural Intelligence (CULINT). This paper presents a CULINT computer-based methodology for increasing cultural awareness. By automatically identifying themes/motifs in textual data and using machine translation, we expose cultural discrepancies in cultural understanding. This novel methodology is empirically tested through the...
This paper presents an approach for evaluating domain specific linguistic ontology. The approach used a set of questions pertaining to the internal structure of the ontology and employed to evaluate the SemQ linguistic ontology, an ontology for representing semantic oppositions in the Holy Quran. We believe following such an approach for evaluating linguistic ontologies will create a custom-specific...
Recognizing Textual Entailment, as one of the branches of Nature Language Processing, has been widely used in Human Computer Interaction, Question Answering System, etc. RTE is trying to build an intelligent system which can analyze the content of an input text (T), and then raises a hypothesis (H) based on that. My self-design RTE system which is called SNRTE combines lexical, syntax, and semantic...
Word semantic similarity is a very subjective concept and it is very difficult to get a similarity value close to human judgment. Chinese word semantic similarity research is relatively scarce due to its inherent complexity. This paper presents an approach to compute Chinese word semantic similarity based on statistical methods with word frequency contrast introduced (WFC-WS). Word semantic vectors...
In our previous work, we described a framework called i2Learning for a perpetual learning agent to be engaged in continuous learning to incrementally improve its problem solving performance over time. i2Learning offers an overarching framework that can accommodate various inconsistency-specific learning strategies. In this paper, we report our new results on how learning can be carried out through...
We modelled disaster risk attitudes using top down and bottom up approaches. Top down, we constructed an attitudinal model to comprise of affect, behavior and cognition. Bottom-up, we mined ABC semantics from narratives of disaster experiences and gathered ABC data in an online survey. This paper reports two studies: Study 1 identified ABC semantics through text mining; Study 2 developed a disaster...
Recognizing human interactions is a challenging task due to partially occluded body parts and motion ambiguities in interactions. We observe that the interdependencies existing at both action level and body part level greatly help disambiguate similar individual movements and facilitate human interaction recognition. In this paper, we propose a novel hierarchical model to capture such interdependencies...
this paper presents an LMS centered instructional design approach by focusing on an original process for the identification and the formalization of the instructional language of LMS systems. This process takes into account two complementary viewpoints: the user-centered viewpoint based on the Human Machine Interfaces (HMI) analysis and the techno-centered viewpoint primarily based on the database...
The objective of this work is to suggest criteria and guidelines that can be used to design inclusive technological solutions to support human activity sharing in the context of Ambient Intelligence. These guidelines derive from the analysis of previous works in related fields such as cognitive engineering, usability, inclusive design and accessibility. The first step of this work was the definition...
A conceptual explanation of descriptions of systems at the physical, functional, symbolic and semantic level is given. A notation for clearly distinguishing physical from functional, symbolic, and semantic states is defined (together with its inverse). The Computational Theory of Mind and its relationship to the description of systems are explained. The interaction of human computational systems with...
This paper presents the definition of a process for performing rework, and a tool that executes the process in order to support humans seeking help in being sure that they are carrying out rework completely and correctly. The process definition treats rework as the reinstantiation of previously-performed activities in new contexts, which requires the careful specification and management of the values...
Semantic descriptions are able to provide more accurate information on the characteristics of Web services, allowing these to be dynamically discovered without human intervention. Semantic web services can also be automatically composed through the use of discovery mechanisms able to identify inter-related services that can be combined together. This paper presents an approach for automatic discovery...
Semantic Web as an evolution of Web has led to the introduction of new technologies including XML-based formats of representing data on the Web: resource description framework (RDF) and ontology. Similarity assessment of the entities has a fundamental role in processing and analyzing data represented in ontology. In this paper, we propose a technique for determining semantic similarity between pieces...
We propose a sentence generation method that describes images. We do not use image processing technique in our proposed method. Human annotated image tags are used as image information to generate sentence. By using human annotated tags, we think this enables to describe image more relevant and user specific. Our method uses Kyoto University's case frame data and Google N-gram to generate candidate...
Activity recognition in video is dominated by low- and mid-level features, and while demonstrably capable, by nature, these features carry little semantic meaning. Inspired by the recent object bank approach to image representation, we present Action Bank, a new high-level representation of video. Action bank is comprised of many individual action detectors sampled broadly in semantic space as well...
This paper presents a new type of evolutionary algorithm (EA) based on the concept of “meme”, where the individuals forming the population are represented by semantic networks and the fitness measure is defined as a function of the represented knowledge. Our work can be classified as a novel memetic algorithm (MA), given that (1) it is the units of culture, or information, that are undergoing variation,...
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental model of the image(s) sought. For example, perusing image results for a query “black shoes”, the user might state, “Show me shoe images like these, but sportier.” Offline, our approach first learns a set of ranking functions,...
This paper addresses the problem of scene categorization while arguing that better and more accurate results can be obtained by endowing the computational process with perceptual relations between scene categories. We first describe a psychophysical paradigm that probes human scene categorization, extracts perceptual relations between scene categories, and suggests that these perceptual relations...
To fully utilize the social potential of virtual environments, support for seamless and automatic integration of nonverbal communication is essential. In this paper we propose a conceptual and architectural design for a framework, which provides an integrated, flexible environment for the cooperation of heterogeneous modules specialized in different aspects of the acquirement, analysis and presentation...
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