hit-computer / GRU-or-CNN
Implement GRU or CNN in python/theano to learn the sentences representation for coherence, answer selecting or dialogue.
☆15Updated 8 years ago
Alternatives and similar repositories for GRU-or-CNN:
Users that are interested in GRU-or-CNN are comparing it to the libraries listed below
- Multi-Perspective Sentence Similarity Modeling with Convolution Neural Networks论文实现☆68Updated 6 years ago
- 使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等☆31Updated 7 years ago
- This released code corresponds to TACL paper "attentive convolution". Attentive Convolution aims to generate a vector for two sentences.☆104Updated 7 years ago
- Keras-Based LSTM Conv model for Question Selection☆23Updated 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
- This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]☆44Updated 6 years ago
- Python Linear CRF☆47Updated 11 years ago
- Loading the model from glove and computer word similarity & word clustering.☆64Updated 10 years ago
- Tensorflow-LSTM-CRF tool for Named Entity Recognizer☆59Updated 7 years ago
- Deep structured semantic model☆32Updated 8 years ago
- implementation match mLstm in TensorFlow 1.0☆28Updated 8 years ago
- code for NER using HMM;s and linear chain CRF's☆49Updated 9 years ago
- Code for NLPCC2016 Chinese Word Similarity Task☆17Updated 8 years ago
- An implementation of the CNN model described in "A Convolutional Neural Network for Modelling Sentences". Kalchbrenner et al. 2014☆34Updated 7 years ago
- koalaGreener / Character-level-Convolutional-Network-for-Text-Classification-Applied-to-Chinese-CorpusThesis of UCL student Weijie Huang☆35Updated 3 years ago
- ☆49Updated 7 years ago
- This is a implementation of the paper A SIMPLE BUT TOUGH-TO-BEAT BASELINE FOR SENTENCE EMBEDDING.☆85Updated 7 years ago
- ☆26Updated 8 years ago
- Implement SC-LSTM model for text generation in control of words, in Python/TensorFlow☆87Updated 7 years ago
- ☆39Updated 8 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
- This is an implementation of paper A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING by PyTorch.☆35Updated 7 years ago
- lstm with attention to deal with qa☆33Updated 8 years ago
- Recurrent neural networks and Dynamic memory networks for sentiment classification☆30Updated 7 years ago
- Attempt at using LSTMs to predict semantic relatedness of sentences (a la Tai et al. in Improved Semantic Representations From Tree-Struc…☆22Updated 9 years ago
- Kaggle Competition: Using deep learning to solve quora's question pairs problem☆54Updated 7 years ago
- Tensorflow implementation of Attention-over-Attention Neural Networks for Reading Comprehension☆28Updated 8 years ago
- 这是一个tensorflow使用的样例,改自于https://guillaumegenthial.github.io/sequence-tagging-with-tensorflow.html☆36Updated 7 years ago
- BiLSTM-CRF for sequence labeling in Dynet☆80Updated 7 years ago
- CNN-LSTM-CRF Sequence Tagging. 炼丹系列。☆21Updated 7 years ago