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Found 4 papers, 1 papers with code
High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical Task
Afterward, to increase the training set, we studied the effects of the out-of-domain data on biomedical translation tasks, and we created a mixture of in-domain and out-of-domain training sets and added more in-domain data using forward translation in the English-Spanish task.
E-Commerce Content and Collaborative-based Recommendation using K-Nearest Neighbors and Enriched Weighted Vectors
In this paper, we present two productive and functional recommender methods to improve the ac- curacy of predicting the right product for the user.
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
In this work, we present an effective method for semantic specialization of word vector representations.
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task
Our best-submitted system ranked 2nd and 3rd for Spanish-English and English-Spanish translation directions, respectively.
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