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Combining semantic search and twin product classification for recognition of purchasable items in voice shopping
To overcome this problem, we present a framework that (1) uses a retrieval module that returns the most rele- vant products with respect to the detected slot, and (2) combines it with a twin network that decides if the detected slot is indeed a pur- chasable item or not.
Joint learning of frequency and word embeddings for multilingual readability assessment
This paper describes two models that employ word frequency embeddings to deal with the problem of readability assessment in multiple languages.
Construction and Analysis of a Large Vietnamese Text Corpus
This paper presents a new Vietnamese text corpus which contains around 4. 05 billion words.
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