Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
LSTM Hypertagging
Efficient Learning for Undirected Topic Models
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification
Crowdsourcing Multiple Choice Science Questions
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Using Word Embeddings
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
Inter-Weighted Alignment Network for Sentence Pair Modeling
Natural Language Inference with Definition Embedding Considering Context On the Fly
DisSent: Sentence Representation Learning from Explicit Discourse Relations