-> This is an implementation of Neural Tensor Network, as mentioned in the following research paper: http://nlp.stanford.edu/~socherr/SocherChenManningNg_NIPS2013.pdf -> The code has been written in Python using Scipy and Numpy -> The code is bound by The MIT License (MIT) Running the code: -> Download the data files: 'entities.txt', 'relations.txt', 'train.txt', 'wordIndices.p', 'dev.txt' and 'test.txt' and the code file 'neuralTensorNetwork.py' -> Put them in the same folder, and run the program by typing in 'python neuralTensorNetwork.py' in the command line -> You should get a final output saying, 'Accuracy: 0.813', which signifies an accuracy of 81.3% -> This code takes about a day to execute on an i5 processor