Archives for Universal sentence encoder

25 Jul

Guide To Question Answer Retrieval With Multilingual Universal Sentence Encoder

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Due to the explosion of the internet and the existence of several multicultural communities, one of the major challenges faced by this system is multilingual. In a multilingual scenario, it is expected that the QA system will be able to do: answer questions formulated in several languages and look for answers in several collections in different languages. There are two kinds of recognizable QA systems that manage information in different languages, i.e. cross-lingual QA system and a second multilingual QA system. The first one addresses the situation where questions are formulated in different languages from a single document. The second one performs a search over two or more document collections in different languages.

The post Guide To Question Answer Retrieval With Multilingual Universal Sentence Encoder appeared first on Analytics India Magazine.

07 Mar

Guide To Universal Sentence Encoder With TensorFlow

image-20657
image-20657

Universal sentence encoder models encode textual data into high-dimensional vectors which can be used for various NLP tasks. It was introduced by Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope and Ray Kurzweil (researchers at Google Research)  in…

The post Guide To Universal Sentence Encoder With TensorFlow appeared first on Analytics India Magazine.

07 Mar

Guide To Universal Sentence Encoder With TensorFlow

image-20658
image-20658

Universal sentence encoder models encode textual data into high-dimensional vectors which can be used for various NLP tasks. It was introduced by Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope and Ray Kurzweil (researchers at Google Research)  in…

The post Guide To Universal Sentence Encoder With TensorFlow appeared first on Analytics India Magazine.

07 Mar

Guide To Universal Sentence Encoder With TensorFlow

image-20659
image-20659

Universal sentence encoder models encode textual data into high-dimensional vectors which can be used for various NLP tasks. It was introduced by Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St. John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope and Ray Kurzweil (researchers at Google Research)  in…

The post Guide To Universal Sentence Encoder With TensorFlow appeared first on Analytics India Magazine.