scharmchi / char-level-cnn-tfLinks
Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow
☆81Updated 9 years ago
Alternatives and similar repositories for char-level-cnn-tf
Users that are interested in char-level-cnn-tf are comparing it to the libraries listed below
Sorting:
- LSTM-CRF models for sequence labeling in text.☆174Updated 8 years ago
- My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/…☆183Updated 7 years ago
- Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task☆197Updated 8 years ago
- Neural Attention Model for Abstractive Summarization☆74Updated 9 years ago
- Dynamic Memory Network implementation in TensorFlow☆178Updated 7 years ago
- Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow☆177Updated 8 years ago
- ☆234Updated 6 years ago
- ☆151Updated 2 years ago
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- Hierarchical Recurrent Encoder Decoder for Query Suggestion☆108Updated 8 years ago
- attention model for entailment on SNLI corpus implemented in Tensorflow and Keras☆178Updated 8 years ago
- tensorflow rewrite of Yoon Kim's lstm-char-cnn☆214Updated 7 years ago
- Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.☆200Updated 9 years ago
- ☆59Updated 9 years ago
- Dynamic Convolutional Neural Networks for Theano/Lasagne☆151Updated 8 years ago
- TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension☆95Updated 8 years ago
- Hierarchical encoder-decoder framework for sequences of words, sentences, paragraphs and documents using LSTM and GRU in Theano☆108Updated 9 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
- Tensorflow implementation of Dynamic Coattention Networks for Question Answering.☆100Updated 8 years ago
- Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow☆188Updated 8 years ago
- Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.☆87Updated 7 years ago
- Neural Language Correction implemented on Tensorflow☆156Updated 2 years ago
- Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).☆235Updated 7 years ago
- Implementation of A Structured Self-attentive Sentence Embedding☆108Updated 7 years ago
- An implementation of skip-thought vectors in Tensorflow☆74Updated 2 years ago
- It is a tensorflow script for multi-task learning implementation of Kim's paper : Convolutional Neural Networks for Sentence Classificati…☆105Updated 8 years ago
- ICASSP2017: End-to-end joint learning of natural language understanding and dialogue manager☆75Updated 8 years ago
- For those who want to model the inter-sentence relations, pls use the more powerful code of "Attentive Convolution" in another repository☆90Updated 7 years ago
- Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in Tensorflow☆143Updated 8 years ago
- Tensorflow-LSTM-CRF tool for Named Entity Recognizer☆59Updated 8 years ago