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A deep learning model adaptive to both sentence-level and article-level paraphrase identification and pre-trained phrase end sentence embedding data for use ...
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Aug 13, 2018 · A deep learning model adaptive to both sentence-level and article-level paraphrase identification is proposed in this paper.
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Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature ...
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Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature: 7th CCF International Conference, NLPCC 2018, Hohhot ...
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A deep learning model adaptive to both sentence-level and article-level paraphrase identification is proposed in this paper. It consists of pairwise unit ...
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In this paper we propose a novel approach to the task of paraphrase identification. The proposed approach quantifies both the similarity and dissimilarity ...
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Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature. In Lecture Notes in Computer Science (including Subseries ...
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In this paper, we propose a novel method to classify Vietnamese sentence paraphrases, which deploys both the pre-trained model to exploit the semantic context ...
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Jul 11, 2024 · weighted-average margin or rate based on publicly-ranged information is closer to the weighted- average margin or rate based on proprietary ...
Measurement and correlation of the solubility of estradiol and estradiol-urea co-crystal in fourteen pure solvents at temperatures from 273.15 K to 318.15 ...