My solution for Kagge Allen AI Challenge ( 3rd place )
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Updated
Feb 21, 2016 - Python
My solution for Kagge Allen AI Challenge ( 3rd place )
Work on Question Classification
Spoken Language Understanding
LSTM Language model, first project of NLU Spring 17
Natural Language Understanding
Identifying potential red flags using Watson NLU
ConvAI baseline solution
Python library for Natural Language Understanding
Hierarchical Encoder Decoder RNN
QA system on insurance fields
Convolution Neural Network for classification of semantic relations in a sentence
This is simple chatbot application with Natural Language Understanding to maintain very simple shopping list
Arabic Parser Using Stanford API
turn natural language into structured data
Better convergence speeds for NLI task
Language Model based on Recurrent Neural Networks implemented in Tensorflow (with manual graph unrolling) and continuation of sentences based on the language model
Conversational agent model for (person A-person B-person A) dialogue types, based on seq2seq model, global attention and antilanguage model
Sentiment Analysis on Tweets based on Recurrent Neural Network and attention model, implemented using Tensorflow library.
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