Search (10 results, page 1 of 1)

  • × author_ss:"Zhang, Z."
  1. Zhang, Z.; Zhang, Z.; Law, R.: Editorial responsiveness, journal quality, and total review time : an empirical analysis (2012) 0.04 
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    Abstract
    This study examined the relationships among perceived editorial responsiveness, perceived journal quality, and review time of submissions for authors in mainland China. Online review data generated by authors who have experienced the submission process in 10 Chinese academic journals were collected. The results of Spearman correlation analysis show that Chinese authors' perceived responsiveness of an editorial office is positively correlated with perceived quality of the journal, and the total review time does not affect perceptions of the quality of a journal and its editorial responsiveness.
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  2. Sarnikar, S.; Zhang, Z.; Zhao, J.L.: Query-performance prediction for effective query routing in domain-specific repositories (2014) 0.03 
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    Abstract
    The effective use of corporate memory is becoming increasingly important because every aspect of e-business requires access to information repositories. Unfortunately, less-than-satisfying effectiveness in state-of-the-art information-retrieval techniques is well known, even for some of the best search engines such as Google. In this study, the authors resolve this retrieval ineffectiveness problem by developing a new framework for predicting query performance, which is the first step toward better retrieval effectiveness. Specifically, they examine the relationship between query performance and query context. A query context consists of the query itself, the document collection, and the interaction between the two. The authors first analyze the characteristics of query context and develop various features for predicting query performance. Then, they propose a context-sensitive model for predicting query performance based on the characteristics of the query and the document collection. Finally, they validate this model with respect to five real-world collections of documents and demonstrate its utility in routing queries to the correct repository with high accuracy.
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  3. Zhang, Z.; Heuer, A.; Engel, T.; Meinel, C.: DAPHNE - a tool for distributed Web authoring and publishing (1999) 0.01 
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    Abstract
    Web authoring and publishing in organizations / enterprises has become a more and more important and complex task. It has become a distributed, collaborative process performed by many users with less or even no HTML knowledge. In order to support this process, i.e., to facilitate the creation of websites and to maintain their usability and consistency, Web authoring and publishing systems are frequently asked for. In this paper, a Web authoring and publishing system, the DAPHNE (Distributed Authoring and Publishing in a Hypertext and Networked Environment) system, will be introduced. Based on metadata management and standard Internet technologies, DAPHNE offers many interesting features. Most importantly, DAPHNE allows a high openness from the system viewpoint as well as a high flexibility for authors: no HTML knowledge will be required - users can edit documents by using the editing tools they are familiar with and which exist in their current computing environment. DAPHNE will automatically generate a dynamic version of a well-structured website as well as a set of well-structured static HTML files. By employing subject headings - the structural element of DAPHNE- DAPHNE allows to support a navigation structure of high usability and a standard layout of the website as well. In this paper, following a brief introduction to DAPHNE's system architecture and design principles, DAPHNE'S key features, new developments of DAPHNE, especially those regarding integration of a workflow for management of multilingual websites and the possibility of building a document/knowledge management system using DAPHNE, will be addressed. A discussion on Web authoring and publishing in organizations / enterprises will be given as well
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  4. Lin, M.; Zhang, Z.: Question-driven segmentation of lecture speech text : towards intelligent e-learning systems (2008) 0.00 
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    Abstract
    Recently, lecture videos have been widely used in e-learning systems. Envisioning intelligent e-learning systems, this article addresses the challenge of information seeking in lecture videos by retrieving relevant video segments based on user queries, through dynamic segmentation of lecture speech text. In the proposed approach, shallow parsing such as part of-speech tagging and noun phrase chunking are used to parse both questions and Automated Speech Recognition (ASR) transcripts. A sliding-window algorithm is proposed to identify the start and ending boundaries of returned segments. Phonetic and partial matching is utilized to correct the errors from automated speech recognition and noun phrase chunking. Furthermore, extra knowledge such as lecture slides is used to facilitate the ASR transcript error correction. The approach also makes use of proximity to approximate the deep parsing and structure match between question and sentences in ASR transcripts. The experimental results showed that both phonetic and partial matching improved the segmentation performance, slides-based ASR transcript correction improves information coverage, and proximity is also effective in improving the overall performance.
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  5. Ding, Y.; Jacob, E.K.; Zhang, Z.; Foo, S.; Yan, E.; George, N.L.; Guo, L.: Perspectives on social tagging (2009) 0.00 
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  6. Srihari, R.K.; Zhang, Z.: Exploiting multimodal context in image retrieval (1999) 0.00 
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  7. Li, J.; Zhang, Z.; Li, X.; Chen, H.: Kernel-based learning for biomedical relation extraction (2008) 0.00 
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  8. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.00 
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  9. Suakkaphong, N.; Zhang, Z.; Chen, H.: Disease named entity recognition using semisupervised learning and conditional random fields (2011) 0.00 
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  10. Zhang, Z.; Li, Q.; Zeng, D.; Ga, H.: Extracting evolutionary communities in community question answering (2014) 0.00 
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