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![References
[1] A. Andrenucci, E. Sneiders, “Automated question answering: review of the main
approaches” (2005)
[2] Ilya Sutskever, Oriol Vinyals, Quoc V. Le, “Sequence to Sequence Learning with
Neural Networks” (2014)
[3] https://towardsdatascience.com/introduction-to-sequence-models-rnn-
bidirectional-rnn-lstm-gru-73927ec9df15
[4] https://github.com/ematvey/tensorflow-seq2seq-tutorials/blob/master/1-
seq2seq.ipynb
[5] http://colah.github.io/posts/2015-08-Understanding-LSTMs/
QA System
HR
Problems
Neural
Network
Conclusion References 17](https://image.slidesharecdn.com/qasystems-en-181222170620/85/Question-Answering-Systems-19-320.jpg)
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Question Answering Systems
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- 4. QA System ▶︎ AutoResponderwithNormalHumanLanguage ▶︎Answer based on Knowledge Bases ▶︎ InformationRetrievalTechnologyandNaturalLanguageProcessing QA System HR Problems Neural Network Conclusion References 2
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- 10. LSTM QA System HR Problems Neural Network Conclusion References8 LSTM CellRNN Cell
- 11. LSTM QA System HR Problems Neural Network Conclusion References9 Information (State) Transmission Chain
- 12. LSTM New input effect QASystem HR Problems Neural Network Conclusion References 10
- 13. LSTM QA System HR Problems Neural Network Conclusion References11 Calculate new information
- 14. LSTM QA System HR Problems Neural Network Conclusion References12 Forget last and add new information
- 15. LSTM QA System HR Problems Neural Network Conclusion References13 Calculate output
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- 17. Attention Mechanism w1 w2w3 w4 w5 LSTM Bidirectional LSTM QA System HR Problems Neural Network Conclusion References 15
- 18. Conclusion QA System HR Problems Neural Network Conclusion References16 ▶︎ Automated QA System ▶︎ Need QA Systems ▶︎ RNN ▶︎SequencetoSequenceModel ▶︎ Attention Mechanism
- 19. References [1] A. Andrenucci,E. Sneiders, “Automated question answering: review of the main approaches” (2005) [2] Ilya Sutskever, Oriol Vinyals, Quoc V. Le, “Sequence to Sequence Learning with Neural Networks” (2014) [3] https://towardsdatascience.com/introduction-to-sequence-models-rnn- bidirectional-rnn-lstm-gru-73927ec9df15 [4] https://github.com/ematvey/tensorflow-seq2seq-tutorials/blob/master/1- seq2seq.ipynb [5] http://colah.github.io/posts/2015-08-Understanding-LSTMs/ QA System HR Problems Neural Network Conclusion References 17
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