jojonki / Structured-Self-Attentive-Sentence-Embedding
A Structured Self-attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio, ICLR 2017
☆11Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Structured-Self-Attentive-Sentence-Embedding
- Density Order Embeddings☆33Updated 5 years ago
- Code for the article "Automatic Temperature Control for Neural Machine Translation" (EMNLP 2018)☆13Updated 5 years ago
- Auxiliary GAN for WE post-specialisation☆23Updated 5 years ago
- DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding☆26Updated 6 years ago
- A sentence encoding-based model for natural language inference☆31Updated 6 years ago
- Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on P…☆43Updated 6 years ago
- A pytorch implementation of "Latent Variable Dialogue Models and their Diversity"☆19Updated 6 years ago
- Code for "Smaller Text Classifiers with Discriminative Cluster Embeddings" (NAACL 2018)☆30Updated 6 years ago
- PyTorch study☆14Updated 7 years ago
- Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs☆27Updated 5 years ago
- Reimplementation of NLP Style Transfer from Non-parallel Text with Adversarial Alignment (https://arxiv.org/abs/1705.09655)☆14Updated 3 years ago
- MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models☆22Updated 6 years ago
- Leveraging Local and Global Patterns for Self-Attention Networks☆12Updated 5 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 5 years ago
- ☆11Updated 6 years ago
- PyTorch implementation of FAIR's paper "End-to-End Memory Network", NIPS 2015☆12Updated 7 years ago
- Universal segmenter based on the Universal Dependency framework, written by Y. Shao, Uppsala University☆35Updated 5 years ago
- Multi-level tagger☆23Updated 6 years ago
- Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.☆18Updated 5 years ago
- Pre-training character n-gram embeddings☆23Updated last year
- code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"☆11Updated 5 years ago
- 'Learning End-to-End Goal-Oriented Dialog with maximal User task success and minimal Human Agent use' - TACL, ACL 2019 oral presentation☆10Updated 4 years ago
- ☆12Updated 5 years ago
- Code for "Neural Speed Reading with Structural-Jump-LSTM" ICLR 2019☆26Updated 5 years ago