ketranm / neuralHMM
code for unsupervised learning Neural Hidden Markov Models paper
☆71Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for neuralHMM
- Text classification code described in "SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines" by Roy Schwartz, Sam Thomson and No…☆55Updated 2 years ago
- Recurrent Memory Network - Torch implementation☆36Updated 8 years ago
- An implementation of semi-supervised VAE for morphology reinflection.☆26Updated 5 years ago
- NYU ML² work on sentence encoding with tree structure and dynamic graphs☆107Updated 5 years ago
- ☆48Updated 7 years ago
- DMV/CCM implementation☆17Updated 8 years ago
- An implementation of Mikolov's word2vec in Python using Theano and Lasagne.☆37Updated 7 years ago
- Code to accompany "A Neural Framework for Generalized Topic Models"☆67Updated 6 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆54Updated 7 years ago
- ☆46Updated 6 years ago
- Aspect-augmented Adversarial Networks for Domain Adaptation☆50Updated 7 years ago
- NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)☆63Updated last year
- ☆44Updated 6 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆84Updated 7 years ago
- ☆33Updated 7 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆66Updated 7 years ago
- Code for upcoming TACL paper w/ Graham Neubig, "Neural Lattice Language Models".☆48Updated 6 years ago
- Code and workflow for the reproduction of the stochastic decoder experiments.☆16Updated 6 years ago
- ☆20Updated 6 years ago
- A latent variable RNN model for discourse-driven language modeling☆36Updated 8 years ago
- Easy-first dependency parser based on Hierarchical Tree LSTMs☆33Updated 7 years ago
- The Importance of Being Recurrent for Modeling Hierarchical Structure☆25Updated 6 years ago
- Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.☆60Updated 7 years ago
- Evaluation tool for word embeddings☆27Updated 8 years ago
- PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)☆69Updated 4 years ago
- ☆36Updated 5 years ago
- Author implementation of "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016)☆33Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆72Updated 3 years ago
- A latent-variable model for learning bilingual word embedding mappings☆18Updated 5 years ago
- Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner☆28Updated 5 years ago