XiaohuiGuoEartha / NLP_Project_Abstractive_Summarization
Used Python “keras” package to develop a unidirectional LSTM based deep learning model “encoder-decoder networks” for title generation on news data set. Improved the architecture by using attention. Created tensorboard visualizations to show the validation accuracy and loss. Evaluated the summaries using the ROUGE score.
☆17Updated 6 years ago
Alternatives and similar repositories for NLP_Project_Abstractive_Summarization:
Users that are interested in NLP_Project_Abstractive_Summarization are comparing it to the libraries listed below
- Extractive Text Summarization Using Deep Learning: Single document summarization using RBM and Fuzzy logic☆9Updated 5 years ago
- Deep Learning for Nature Language Processing at Standford☆13Updated 8 years ago
- TensorFlow code and pre-trained models for A Dynamic Word Representation Model Based on Deep Context. It combines the idea of BERT model…☆15Updated 6 years ago
- LSTM, biconditional, soft attention LSTM/GRU encoders for SemEval 2016 stance detection task☆8Updated 2 years ago
- Stance Detection for the Fake News Challenge with Conditional Encoding and Attention LSTM, as Stanford CS224N class project by Stephen Pf…☆15Updated 7 years ago
- Sequence to Sequence and attention from scratch using Tensorflow☆29Updated 7 years ago
- A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)☆80Updated 6 years ago
- Tree Structured LSTM model for sentence level aspect based sentiment analysis☆36Updated 7 years ago
- RNN Seq2Seq Based Abstract Summarization(ABS) On Tensorflow☆9Updated 5 years ago
- Code for Named Entity Recognition using Deep Bidirectional LSTM(Char and Word Level Embedding) + HighWay Layer + CRF☆23Updated 7 years ago
- Machine translation using deep learning with lstm,cnn,attention,beam search and so on.☆20Updated 7 years ago
- Web api built on flask for keras-based sentiment analysis using Word Embedding, RNN and CNN☆25Updated 6 years ago
- deep learning model for text classification☆10Updated 6 years ago
- Sentiment analysis using LSTM with attention mechanism in keras.☆11Updated 6 years ago
- TextSentimentClassification, using tensorflow.☆15Updated 6 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆21Updated 6 years ago
- A neural text process python lib for context-based feature extraction on Seq-Tagging data.☆10Updated 6 years ago
- Tensorflow implementation of Attention-based Bidirectional RNN text classification.☆26Updated 6 years ago
- Aspect-Based Sentiment Analysis☆36Updated 2 years ago
- SOTA results for machine learning problems in NLP .☆11Updated 4 years ago
- This code extracts context embedding from sentence☆25Updated 6 years ago
- Implementing different neural architectures for ABSA. [IN PROGRESS]☆28Updated 7 years ago
- Identify Events from text using Natural Language Processing Modules☆33Updated 8 years ago
- Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning☆28Updated 5 years ago
- Keras Conv+BiLSTM for Named Entity Recognition☆24Updated 7 years ago
- Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations☆36Updated 6 years ago
- Experiments of ELMo that deep contextualized word representation in Keras with Tensorflow Hub.☆13Updated 6 years ago
- comment_toxic☆14Updated 6 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 6 years ago
- LSTM-based model for answer selection☆18Updated 6 years ago