62 citations · 126 across the 4 of their papers we have counts for
3 papers · 1 filter
Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar, Thyago Duque, Oscar Täckström +2
We present a solution to the problem of paraphrase identification of questions. We focus on a recent dataset of question pairs annotated with binary paraphrase labels and show that…
Universal Semantic Parsing
Siva Reddy, Oscar Täckström, Slav Petrov +2
Universal Dependencies (UD) offer a uniform cross-lingual syntactic representation, with the aim of advancing multilingual applications. Recent work shows that semantic parsing can…
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh, Oscar Täckström, Dipanjan Das +1
We propose a simple neural architecture for natural language inference. Our approach uses attention to decompose the problem into subproblems that can be solved separately, thus ma…