jayavardhanr / PRQA-MultitaskAttentiveNet

sourcecode for "Answer Identification from Product Reviews for User Questions by Multi-task Attentive Network"s

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PRQA-MultitaskAttentiveNet

Data and codes for "Answer Identification from Product Reviews for User Questions by Multi-task Attentive Network"(AAAI-2019). Requirments: python 3.5+, tensorflow 1.6+, keras 2.0+, NLTK

Preparation

Download pre-trained embedding dictionary "glove.twitter.27B.50d.txt" on https://nlp.stanford.edu/projects/glove/

Running

python MAIN.py

Note

Set "data path" and "model parameters" at the top lines of MAIN.py.

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sourcecode for "Answer Identification from Product Reviews for User Questions by Multi-task Attentive Network"s


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