Nicholas Kolkin

From Word Embeddings To Document Distances

2015 · PolyPublie (École Polytechnique de Montréal)

We present the Word Mover's Distance (WMD), a novel distance function between text documents. Our work is based on recent results in word embeddings that learn semantically meaningful representations for words from local cooccurrences in …