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Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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Formative Evaluation for Multilingual Multimedia Search and Sense-Making
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Taming Social Tags: Computational Linguistic Analysis of Tags for Images in Museums
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Selecting and Categorizing Textual Descriptions of Images in the Context of an Image Indexer's Toolkit
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Measuring Variability in Sentence Ordering for News Summarization
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CLiMB ToolKit: A Case Study of Iterative Evaluation in a Multidisciplinary Project
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Abstract:
Digital image collections in libraries and other curatorial institutions grow too rapidly to create new descriptive metadata for subject matter search or browsing. CLiMB (Computational Linguistics for Metadata Building) was a project designed to address this dilemma that involved computer scientists, linguists, librarians, and art librarians. The CLiMB project followed an iterative evaluation model: each next phase of the project emerged from the results of an evaluation. After assembling a suite of text processing tools to be used in extracting metadata, we conducted a formative evaluation with thirteen participants, using a survey in which we varied the order and type of four conditions under which respondents would propose or select image search terms. Results of the formative evaluation led us to conclude that a CLiMB ToolKit would work best if its main function was to propose terms for users to review. After implementing a prototype ToolKit using a browser interface, we conducted an evaluation with ten experts. Users found the ToolKit very habitable, remained consistently satisfied throughout a lengthy evaluation, and selected a large number of terms per image.
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Keyword:
Computer science; Information technology
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URL: https://doi.org/10.7916/D8K36336
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CLiMB ToolKit: A Case Study of Iterative Evaluation in a Multidisciplinary Project ...
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Lexicalized Well-Founded Grammars: Learnability and Merging
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Customization in a Unified Framework for Summarizing Medical Literature
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Similarity-based Multilingual Multi-Document Summarization ...
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Lexicalized Well-Founded Grammars: Learnability and Merging ...
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Inducing Constraint-based Grammars from a Small Semantic Treebank
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Inducing Constraint-based Grammars from a Small Semantic Treebank ...
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Columbia’s Newsblaster: New Features and Future Directions
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Klavans, Judith L.; Barzilay, Regina; Nenkova, Ani. - : NAACL-Demonstrations '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Demonstrations, 2003
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