1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2018
Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin, Ethan Hart, Vibhuti Mahajan +1
Character-based neural models have recently proven very useful for many NLP tasks. However, there is a gap of sophistication between methods for learning representations of sentenc…
cs.CL2018★ 1 cited
Paraphrase-Supervised Models of Compositionality
Avneesh Saluja, Chris Dyer, Jean-David Ruvini
Compositional vector space models of meaning promise new solutions to stubborn language understanding problems. This paper makes two contributions toward this end: (i) it uses auto…