Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality
نویسندگان
چکیده
منابع مشابه
Improving sparse word similarity models with asymmetric measures
We show that asymmetric models based on Tversky (1977) improve correlations with human similarity judgments and nearest neighbor discovery for both frequent and middle-rank words. In accord with Tversky’s discovery that asymmetric similarity judgments arise when comparing sparse and rich representations, improvement on our two tasks can be traced to heavily weighting the feature bias toward the...
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ژورنال
عنوان ژورنال: Computers
سال: 2020
ISSN: 2073-431X
DOI: 10.3390/computers9040081