HIGHLIGHTS
- What: To sum up, text matching, pivotal in natural language processing, strives to identify semantic similarity or equivalence between multiple texts.
- Who: Dingyuan Hu from the Department of Computer Science, Chang`an University, Xi`an, China have published the research: Analysis of the text matching problem, in the : Proceedings of the 4th International Conference on Signal Processing and Machine Learning
SUMMARY
Dimensional data, resulting in closer simulation of biological neural_networks. In 1997, Sepp Hochreiter and Jurgen Schmid Huber introduced LSTM, a complex neural_network block, is used for modelling complex sequential data . . .
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