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Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation...
In this paper, an approach for semantic compositionbased on space projection operations over basic geometriclexical representations is proposed. Syntactic bi-grams arehere projected in the so called Support Subspace, aimed atemphasizing the semantic features shared by the compoundword. Empirical results are discussed over two tasks: a finegrainedsimilarity estimation task over syntactically typedword...
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 proposes the Flickr Distance (FD) to measure the visual correlation between concepts. For each concept, a collection of related images are obtained from the Flickr website. We assume that each concept consists of several states, e.g., different views, different semantics, etc., which are considered as latent topics. Then a latent topic visual language model (LTVLM) is built to capture these...
The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however the semantic gap between low-level image features and high-level semantic concepts handled by the user, is one of the main problems in the image retrieval. On the other hand, the relevance feedback has been used on many CBIR systems such as an effective solution...
Affective lexicons are a useful tool for emotion studies as well as for opinion mining and sentiment analysis. Such lexicons contain lists of words annotated with their emotional assessments. There exist a number of affective lexicons for English, Spanish, German and other languages. However, only a few of such resources are available for French. A lot of human efforts are needed to build and extend...
This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the human tHought process that is people prefer to consider more differences when the semantic distance between two word is closer, and vice versa. At last, we weigh up our model against a benchmark set by human...
A stylistic device frequently employed by filmmakers is the synchronous montage (composition) of audio and visual elements. Synchronous montage helps to increase tension and tempo in a scene and highlights important events in the story. Sequences with synchronous montage usually contain rich semantics which is relevant for understanding a movie. This property is currently not exploited in automated...
Computation of Semantic similarity between concepts play a key role in Ontology mapping, Psycholinguistics, Information Integration and Information Retrieval. A COSS (Cross Ontology Semantic Similarity) measure which follows information content approach and is based on Amos Tversky psychological contrast model for finding the semantic closeness of concepts belonging to different biomedical ontologies...
Traditional methods to modeling semantic similarity only compute the common characteristics and uncommon characteristics, without considering the structural relationship between concepts. In this paper, a new semantic similarity method based on information content is proposed. It evolves from feature model, the function λ in the algorithm which defines the relative importance of the uncommon characteristics,...
Automated Essay Grading (AEG) is a very important research area in educational technology. Latent Semantic Analysis (LSA) is an information retrieval technique used for automated essay grading. LSA forms a word by document matrix and then the matrix is decomposed using Singular Value Decomposition (SVD) technique. Existing AEG systems based on LSA cannot achieve higher level of performance to be a...
This paper presents experiments using several vector space models in Automated Essay Scoring (AES). Firstly, we compare four different Vector Space Models (VSM) which are the Word-based Vector Space Model (W-VSM), the Weight Adapted Word-based Vector Space Model (WAW-VSM), the Latent Semantic-based Vector Space Model (LS-VSM) and the Sequence Latent Semantic-based Vector Space Model (SLS-VSM). The...
A network of concepts is built from Wikipedia documents using a random walk approach to compute distances between documents. Three algorithms for distance computation are considered: hitting/commute time, personalized page rank, and truncated visiting probability. In parallel, four types of weighted links in the document network are considered: actual hyperlinks, lexical similarity, common category...
There is a great deal of research on the structural and logical matching of ontologies, and there is also considerable work on matching data instances from heterogeneous schema or ontologies, however, little work exploits the fact that ontologies include both data and structure. In this paper, we aim to present a new ontology matching architecture that tightly integrates both semantic similarity measure...
This study aims to develop an automatic scoring system for evaluating the ecology observation worksheets in mobile learning activities. The feedbacks for constructed response tasks were provided online to motivate students searching for detailed information in e-library, such that their inquiry abilities could be enhanced. Three PDA integrated outdoor observation activities and worksheets were arranged...
This paper evaluates CONSPECT, a service that analyses states in a learner's conceptual development. It combines two technologies - Latent Semantic Analysis to analyse text and Network Analysis (NA) to provide visualisations - into a technique called Meaningful Interaction Analysis (MIA). CONSPECT was designed to help both online learners and their tutors monitor their conceptual development. This...
The problem of measuring semantic similarity between word pairs has been considered as a fundamental operation in natural language processing, such as information retrieval, word sense disambiguation, etc. Nevertheless, developing a computational method capable of generating satisfactory results close to what humans would perceive is still a difficult task somewhat owed to the subjective nature of...
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