abstract the extent to which teachers’ written corrective feedback (wcf) is conducive to esl learners’ improvement has been discussed since truscott’s claim in 1996. the mentioned debate continues because there has been lots of contrastive research studies with different results. this paper presents the results of a 2-month study of the effectiveness of wcf to 65 low intermediate iranian learne...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provided by a user to enhance retrieval quality. For keyword-based XML queries, feedback engines usually generate an expanded keyword query from the content of elements marked as relevant or nonrelevant. This approach that...

In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, our keyword model is constructed in a straightforward manner by exploring the relationship among all images in the feature space in the learning stage. In relevance feedback, ...

Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provided by a user to enhance retrieval quality. For keyword-based XML queries, feedback engines usually generate an expanded keyword query from the content of elements marked as relevant or nonrelevant. This approach that...

To improve the results from search engines and make them more personalized for the user, we need to find out about the interests of a particular user. Many of the search personalization methods analyse documents visited by the user and from these documents infer the user’s interests. However, this approach is not accurate, because the user is rarely interested in the whole document; he might be...

In this paper, a relevance feedback scheme for both keyword and visual feature-based image retrieval is proposed. For each keyword, a statistical model is trained offline based on visual features of a small set of manually labeled images and used to propagate the keyword to other unlabeled ones. Besides the offline model, another model is constructed online using the user provided positive and ...