End-to-end learning of semantic role labeling using recurrent neural networks Zhou & Xu International joint conference on Natural Language Processing, 2015 Collobert’s 2011 paper that we looked at yesterday represented a turning point in NLP in which they achieved state of the art performance on part-of-speech tagging (POS), chunking, and named entity recognition (NER) using ... Continue Reading

Building end-to-end dialogue systems using generative hierarchical neural network models Serban et al. AAAI 2016 After reading a few of these papers on generative non-goal driven dialogue systems, I’ve ended up both impressed at the early results and the direction they point in, as well as somewhat underwhelmed at the potential for this technology to ... Continue Reading