erickrf / treernnLinks
Recurrent Neural Networks with tree structure in Tensorflow
☆123Updated 5 years ago
Alternatives and similar repositories for treernn
Users that are interested in treernn are comparing it to the libraries listed below
Sorting:
- Decomposable Attention Model for Sentence Pair Classification (from https://arxiv.org/abs/1606.01933)☆95Updated 8 years ago
- ☆79Updated 8 years ago
- NAACL 2018 Tutorial: Modelling Natural Language, Programs, and their Intersection☆101Updated 7 years ago
- Fast mini batch version of treelstm using tensorflow☆78Updated 6 years ago
- An attempt to implement the TreeLSTM in Theano☆44Updated 9 years ago
- An implementation of the Globally Normalized Reader☆58Updated 2 years ago
- Deep Averaging Networks☆239Updated 3 years ago
- Transition-based dependency parser based on stack LSTMs☆206Updated 5 years ago
- Reading Comprehension Experiments repository.☆61Updated 8 years ago
- Gated Attention Reader for Text Comprehension☆190Updated 7 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 9 years ago
- Neural Coref Models☆107Updated 7 years ago
- Source code for ``A Structured Self-Attentive Sentence Embedding'' published in ICLR 2017☆53Updated 7 years ago
- Implementation of A Structured Self-attentive Sentence Embedding☆108Updated 7 years ago
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆240Updated 8 years ago
- Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"☆187Updated 8 years ago
- ☆144Updated 7 years ago
- Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras☆71Updated 8 years ago
- Interpretable Models for NLP using PyTorch☆105Updated 7 years ago
- Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.☆87Updated 7 years ago
- NEG loss implemented in pytorch☆123Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong …☆193Updated 9 years ago
- Code to train state-of-the-art Neural Machine Translation systems.☆107Updated 9 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆81Updated 8 years ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs☆206Updated 7 years ago
- ☆30Updated 7 years ago
- Python implementation of Socher et al, EMNLP2013☆36Updated 10 years ago
- Intent parsing and slot filling in PyTorch with seq2seq + attention☆159Updated 8 years ago