alexanderimanicowenrivers / Neural-Variational-Knowledge-GraphsLinks
A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985
☆13Updated 6 years ago
Alternatives and similar repositories for Neural-Variational-Knowledge-Graphs
Users that are interested in Neural-Variational-Knowledge-Graphs are comparing it to the libraries listed below
Sorting:
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆44Updated 5 years ago
- PyTorch code for meta seq2seq learning☆43Updated 5 years ago
- ☆12Updated 6 years ago
- Code for the publication Learning to Reason with Third-Order Tensor Products.☆40Updated 6 years ago
- Experiments of ACL 2018 paper box embeddings☆32Updated 6 years ago
- Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"☆53Updated 2 years ago
- The accompanying code for "Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understandin…☆21Updated 5 years ago
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 20…☆52Updated 5 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆84Updated 4 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- Ouroboros: On Accelerating Training of Transformer-Based Language Models☆10Updated 5 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Updated 3 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 5 years ago
- Cooperative Learning of Disjoint Syntax and Semantics☆50Updated 6 years ago
- Finding Generalizable Evidence by Learning to Convince Q&A Models☆25Updated 2 years ago
- The bAbI question-answering dataset ported into T2T.☆32Updated 6 years ago
- ☆58Updated 5 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆94Updated last year
- Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs☆56Updated 4 years ago
- ☆42Updated 4 years ago
- ☆49Updated last year
- Crowdsourced data for open domain relation classification from sentences☆20Updated 6 years ago
- Official implementation of the models proposed in paper "Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss"☆19Updated 6 years ago
- "Deriving Machine Attention from Human Rationales" EMNLP 2018☆27Updated 6 years ago
- Deep Weighted Averaging Classifiers☆23Updated 6 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs☆26Updated 6 years ago