Multi Labeled Multi-Expressions to Explore Descriptive Documents
نویسندگان
چکیده
منابع مشابه
Learning a Concept Hierarchy from Multi-labeled Documents
While topic models can discover patterns of word usage in large corpora, it is difficult to meld this unsupervised structure with noisy, human-provided labels, especially when the label space is large. In this paper, we present a model—Label to Hierarchy (L2H)—that can induce a hierarchy of user-generated labels and the topics associated with those labels from a set of multi-labeled documents. ...
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While topic models can discover patterns of word usage in large corpora, it is difficult to meld this unsupervised structure with noisy, human-provided labels. We present a model—Label to Hierarchy—that can induce a hierarchy of human labels and the topics associated with those labels. The model is robust enough to account for missing labels from untrained, disparate annotators and provide an i...
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1 Robert W Brown, RMIT University, Electrical and Computer Systems Engineering, PO Box 2476V, Melbourne, Victoria 3001, Australia. [email protected] Abstract Examinations using multi-choice questions can be automatically graded in a fraction of the time and cost of manually grading descriptive questions. There is much controversy concerning the efficacy of multi-choice questions in determining s...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2020
ISSN: 1757-899X
DOI: 10.1088/1757-899x/981/2/022049