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Evaluating and scoring essay questions is an exhausting, time consuming process and require a lot of effort. So, applying automated tools is essentially required to tackle these drawbacks. In this study, we propose an automated scoring approach for short answers to Arabic essay questions. The scoring process is based on the similarity between the student's answer and model answer, cosine similarity...
Packet loss is a serious phenomenon in Vehicular Ad-hoc NETworks (VANETs). Although the multi-source and in-network caching characteristics of Named Data Networking (NDN) can help the consumer to retrieve named content, how to provide reliable named data transmission in vehicular environment is still a problem. To achieve the named data retransmission, previous works follow the traditional RTO algorithms...
With the improvement of China's international influence, more Chinese words are borrowed into English. To find out how popular Chinese borrowings in English, a questionnaire is conducted among English speakers (Chinese natives are excluded). Swaan's Q-value model is hereby employed to analyze the data. The result shows that Chinese borrowings in English vary in Q-value and the ones related to economy...
Question and Answer (Q&A) communities (such as Stackoverflow) have become important places for information exchange and knowledge creation. Their success relies predominantly on two aspects of the feedback generated by their members: quality and speed. Of these, the former reflects on the reputation of the community, whilst the latter is indicative of the efficiency of the Q&A system...
Semantic clue discovering has been a significant issue for mining the form of correlation among concepts or things(Knowledge Entities). The correlation is seen as an important reference for improving information retrieval, knowledge reasoning or making decisions. At present, most searches on semantics focused on semantic relatedness computing rather than semantic clues discovering. To discover semantic...
In most model-free tracking algorithms, context of the target is usually taken as source of negative examples for training the appearance model and thus not fully utilized. In fact, the target is embedded in its context, and there are spatial constraints between them with the potential motion correlations and relative locations. This paper presents a part-based model to describe the spatial constraints...
Content-based multimedia retrieval faces many challenges such as semantic gap, imbalanced data, and varied qualities of the media. Feature selection as a component of the retrieval process plays an important role. The aim of feature selection is to identify a subset of features by removing irrelevant or redundant features. An effective subset of features can not only improve model performance and...
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...
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