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英文字典中文字典相关资料:


  • Semantic Similarity- A Review of Approaches and Metrics
    Semantic similarity measure determines the similarity using knowledge sources such as ontology, plays a crucial role in web semantics There are several techniques to measure semantic
  • Corpus-based and Knowledge-based Measures of Text Semantic . . .
    Through experiments performed on a paraphrase data set, we show that the semantic similarity method out-performs methods based on simple lexical matching, re-sulting in up to 13% error rate reduction with respect to the traditional vector-based similarity metric
  • On Measuring Social Biases in Sentence Encoders - arXiv. org
    WEAT imitates the human implicit association test (Greenwald et al , 1998) for word embed-dings, measuring the association between two sets of target concepts and two sets of attributes Let X and Y be equal-size sets of target concept embeddings and let A and B be sets of attribute embeddings
  • Measuring the Semantic Similarity of Texts
    Provided a measure of semantic similarity between words, and an indication of the word specificity, we combine them into a measure of text semantic sim-ilarity, by pairing up those words that are found to be most similar to each other, and weighting their similarity with the corresponding specificity score We define a directional measure of
  • Measuring the semantic similarity of texts | Proceedings of . . .
    In this paper, we introduce a method that combines word-to-word similarity metrics into a text-to-text metric, and we show that this method outperforms the traditional text similarity metrics based on lexical matching
  • Proceedings of the - ACL Anthology
    In this paper, we in- troduce a method that combines word- to-word similarity metrics into a text-to- text metric, and we show that this method outperforms the traditional text similarity metrics based on lexical matching 1 Intr oduction
  • Assessing sentence similarity through lexical, syntactic and . . .
    The aim of the lexical similarity is to evaluate the semantic relatedness of two decision knowledge elements in terms of the similarity of their closest senses The analysis involves the following steps: (i) lexical analysis, (ii) stop-word removal, (iii) lemmatization, and (iv) calculating the similarity between words (or terms) (Ferreira et





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