imoisharma / Text--Summarization
Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.
☆15Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Text--Summarization
- keras implementation of text classification algorithms☆11Updated 6 years ago
- Keras Conv+BiLSTM for Named Entity Recognition☆24Updated 7 years ago
- Text classification models: cnn, self-attention, cnn-rnf, rnn-att, capsule-net. TensorFlow. Single GPU or multi GPU☆18Updated 4 years ago
- Given a Wikipedia article, generate N "good" questions and answer N questions.☆16Updated 7 years ago
- ai challenger Competitions 1: Fine-grained Sentiment Analysis of User Reviews☆17Updated 6 years ago
- Implement deep memory network used for Aspect Level Sentiment Classification☆15Updated last year
- Emotion Detection using CNN and LSTM☆20Updated 7 years ago
- Kaggle Competition: Using deep learning to solve quora's question pairs problem☆54Updated 7 years ago
- deep learning in text classification(keras)☆52Updated 5 years ago
- Implementation of Very Deep Convolutional Neural Network paper☆14Updated 6 years ago
- comment_toxic☆14Updated 6 years ago
- This is a drop-in Keras layer for ELMo embeddings.☆47Updated 5 years ago
- 中文文本分类，包含了语料库的基本处理，Wiki_zh的处理等☆15Updated 6 years ago
- CNN-LSTM-CRF Sequence Tagging. 炼丹系列。☆21Updated 7 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 5 years ago
- Comparing Text Classification results using BERT embedding and ULMFIT embedding☆65Updated 5 years ago
- Keras + Universal Sentence Encoder = Transfer Learning for text data☆34Updated 6 years ago
- 基于ComNet的短文本匹配网络模型☆11Updated 5 years ago
- Reuters-21578 multi-class multi-label Classification with Keras☆40Updated 7 years ago
- Tensorflow implementation of multi-task learning for language modeling and text classification.☆32Updated 2 years ago
- Implementing different neural architectures for ABSA. [IN PROGRESS]☆29Updated 7 years ago
- Facilitate the learning, practicing, and designing of neural text matching models with a user-friendly and interactive interface.☆39Updated last year
- Tensorflow Implements Chinese Word Segment use LSTM+CRF and Dilated CNN+CRF☆15Updated 6 years ago
- Deep Learning for Nature Language Processing at Standford☆13Updated 8 years ago
- named entity recognition combined with rule from entity dict☆12Updated 4 years ago
- Tensorflow+bilstm+attention+multi label text classify☆122Updated 6 years ago