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22 April 2022 Conversational machine reading comprehension based on cosine
Bai Ke, Hua Jiang, Shaowen Yao, Xiang Huang, ShengHong He
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Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216343 (2022) https://doi.org/10.1117/12.2627496
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China
Abstract
With the development of natural language processing technology and artificial intelligence technology, more and more industrial applications have landed. Our lives have also been improved through intelligent voice assistants. In life, we can control various home appliances by talking to the voice assistant, and we can also chat with the AI voice assistant. In the final analysis, these activities are actually the expansion of the dialogue system, and in the dialogue system, historical dialogue information plays a vital role. The contribution of this article is to use the cosine similarity to compare the current question with the chat information that occurred before. If the similarity is high, it is added to the sentence embedding of the final model input. The advantage of this is that it improves the accuracy of the machine in answering questions in multiple rounds of conversations.
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Bai Ke, Hua Jiang, Shaowen Yao, Xiang Huang, and ShengHong He "Conversational machine reading comprehension based on cosine", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216343 (22 April 2022); https://doi.org/10.1117/12.2627496
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KEYWORDS
Artificial intelligence
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