2018
Learning semantic similarity in a continuous space
NeurIPS 2018poster
We address the problem of learning semantic representation of questions to measure similarity between pairs as a continuous distance metric. Our work naturally extends Word Mover’s Distance (WMD) [1] by representing text documents as normal distributions instead of bags of embedded words. Our learne…