Question Answering System Alireza Torabian
Content Conclusion QA System Neural References Network Human Resource Problems Conclusion QA System Neural Network References
QA System QA System HR Problems Neural Network Conclusion References 1
QA System ▶︎ Auto Responder with Normal Human Language ▶︎ Answer based on Knowledge Bases ▶︎ Information Retrieval Technology and Natural Language Processing QA System HR Problems Neural Network Conclusion References 2
QA System QA System HR Problems Neural Network Conclusion References 3
Human Resource Problems Low Speed Lack of Full-time HR High Cost Fatigue QA System HR Problems Neural Network Conclusion References 4
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Neural Network ▶︎ Inspired by the natural NN ▶︎ Huge number of neurons ▶︎ Machine learning methods ▶︎ Predict output ▶︎ Inspired by the natural NN ▶︎ Huge number of neurons QA System HR Problems Neural Network Conclusion References 6
Recurrent Neural Network (RNN) QA System HR Problems Neural Network Conclusion References 7
LSTM RNN Cell LSTM Cell 8 QA System HR Problems Neural Network Conclusion References 8
LSTM Information (State) Transmission Chain 9 QA System HR Problems Neural Network Conclusion References 9
LSTM New input effect 10 QA System HR Problems Neural Network Conclusion References 10
LSTM Calculate new information 11 QA System HR Problems Neural Network Conclusion References 11
LSTM Forget last and add new information 12 QA System HR Problems Neural Network Conclusion References 12
LSTM Calculate output 13 QA System HR Problems Neural Network Conclusion References 13
Seq2Seq Model Encoder Decoder 14 <END> QA System HR Problems Neural Network Conclusion References 14
Attention Mechanism LSTM Bidirectional LSTM 15 w1 w2 w3 w4 w5 QA System HR Problems Neural Network Conclusion References 15
Conclusion ▶︎ RNN ▶︎ Sequence to Sequence Model ▶︎ Automated QA System ▶︎ Need QA Systems ▶︎ RNN ▶︎ Sequence to Sequence Model ▶︎ Attention Mechanism QA System HR Problems Neural Network Conclusion References 16
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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