Schwegman Lundberg & Woessner, P.A.
Semantically-relevant discovery of solutions
Systems, methods, and computer-readable media for providing semantically-relevant discovery of solutions are described herein. In some examples, a computing device can receive an input, such as a query. The computing device can process each word of the input sequentially to determine a semantic representation of the input. Techniques and technologies described herein determine a response to the input, such as an answer, based on the semantic representation of the input matching a semantic representation of the response. An output including one or more relevant responses to the request can then be provided to the requestor. Example techniques described herein can apply machine learning to train a model with click-through data to provide semantically-relevant discovery of solutions. Example techniques described herein can apply recurrent neural networks (RNN) and/or long short term memory (LSTM) cells in the machine learning model.
Microsoft Technology Licensing, LLC
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inventional inventional inventional inventional
Yelong Jianshu Hamid Jianfeng Xinying Li Xiaodong
Shen Chen Palangi Gao Song Deng He