易于出错
发表于 2025-3-25 04:28:01
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琐事
发表于 2025-3-25 07:47:33
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抚育
发表于 2025-3-25 15:28:10
Encyclopedia of Heroism Studiesth, heart failure and chronic liver diseases (cirrhosis and fibrosis) prediction tasks. We propose ontology-based regularization method that can be used to pre-train MCV embeddings. The approach we use to predict these diseases and conditions can be applied to solve other prediction tasks.
葡萄糖
发表于 2025-3-25 16:12:38
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谦卑
发表于 2025-3-25 21:26:51
A Multi-feature Classifier for Verbal Metaphor Identification in Russian TextsRussian text. We introduce the custom-created training dataset, describe the feature engineering techniques, and discuss the results. The following set of features is applied: distributional semantic features, lexical and morphosyntactic co-occurrence frequencies, flag words, quotation marks, and se
擦试不掉
发表于 2025-3-26 01:27:52
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condone
发表于 2025-3-26 06:17:51
Named Entity Recognition in Russian with Word Representation Learned by a Bidirectional Language Modhave become a standard component of neural network architectures for natural language processing tasks. However, in most cases, a recurrent network that operates on word-level representations to produce context sensitive representations is trained on relatively few labeled data. Also, there are many
有害
发表于 2025-3-26 11:58:44
Supervised Mover’s Distance: A Simple Model for Sentence Comparisonory (LSTM) through a Relation Network. The Relation Network module tries to extract similarity between multiple contextual representations obtained from LSTM. The aim is to build a model which is simple to implement, light in terms of parameters and works across multiple supervised sentence comparis
Cloudburst
发表于 2025-3-26 14:02:52
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voluble
发表于 2025-3-26 17:37:49
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