Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
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Updated
Oct 25, 2019 - Python
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
Code for paper title "Learning Semantic Sentence Embeddings using Pair-wise Discriminator" COLING-2018
"Deriving Machine Attention from Human Rationales" EMNLP 2018
ARCADE198 Dataset from the ACL 2018 MRQA Workshop
Diverse Natural Language Inference Collection - NLI dataset that can used to evaluate how well models perform distinct types of reasoning (EMNLP 2018)
Visual Question Generation reading list
Unofficial PyTorch implementation of the paper - Dynamic Meta-Embeddings for Improved Sentence Representations, EMNLP 2018
CVAE_CGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Reweighting Responses, EMNLP 2018 (short, oral)
CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
A PyTorch implementation of LSTM-Shuttle
Code for my submission to the Shared Task of the 2018 workshop on Social Media Mining for Health Applications
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