Natural Language Inference, Reading Comprehension and Deep Learning
Christopher Manning @chrmanning • @stanfordnlp
Stanford University SIGIR 2016
Machine Comprehension Tested by question answering (Burges)
“A machine comprehends a passage of text if, for any question regarding that text that can be answered correctly by a majority of native speakers, that machine can provide a string which those speakers would agree both answers that question, and does not contain information irrelevant to that question.”
IR needs language understanding
1. Natural logic: A weak logic over human languages for inference
2. Distributed word representations
3. Deep, recursive neural network language understanding
