Neural Models with Memory/LSTM Recursive Neural Networks Midterm Question Answering Paraphrasing Project presentation/demo Holiday Project presentation/demo No Class
Izzedine Gur Semih Yavuz Izzedine Gur Izzedine Gur
Notes Please check slides from http://cs231n.stanford.edu/syllabus.html, and http://cs224d.stanford.edu/ http://www.deeplearningbook.org/
Slides made from coursera and Deep learning tutorial in ICML 13' http://www.cs.nyu.edu/~yann/talks/lecun-ranzato-icml2013.pdf Slides from second chapter of the tutorial, namely "Deep Learning for NLP without Magic", by Richard Socher: http://nlp.stanford.edu/courses/NAACL2013/NAACL2013-Socher-ManningDeepLearning.pdf, and maybe introduce a recent paper "A Neural Network for Factoid Question Answering over Paragraphs" (http://cs.umd.edu/~miyyer/pubs/2014_qb_rnn.pdf) as a concrete work. Word2vec: https://drive.google.com/file/d/0B7XkCwpI5KDYRWRnd1RzWXQ2TWc/edit Glove Video: https://www.youtube.com/watch? v=RyTpzZQrHCs&feature=youtu.be Another related tutorial: http://emnlp2014.org/tutorials/8_notes.pdf https://www.cs.ox.ac.uk/files/6605/aclVectorTutorial.pdf http://www.akbc.ws/2014/slides/weston-nips-akbc.pdf Midterm will cover materials taught till (including) May 4. 90 minutes. http://ir.hit.edu.cn/~zhaosq/paper/PA.pdf Final report due
