IBM / deep-learning-language-modelLinks
A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow
☆127Updated 4 years ago
Alternatives and similar repositories for deep-learning-language-model
Users that are interested in deep-learning-language-model are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆107Updated 7 years ago
- Building QA system for Stanford Question Answering Dataset☆247Updated 7 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆159Updated 6 years ago
- Transfer Learning for NLP Tasks☆55Updated 6 years ago
- Example showing generalisation☆69Updated 5 years ago
- A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.☆82Updated 6 years ago
- ☆143Updated 5 years ago
- DAANet: Dual Ask-Answer Network for Machine Reading Comprehension☆144Updated 6 years ago
- BERT for question answering starting with HotpotQA☆168Updated 6 years ago
- State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.☆134Updated 5 years ago
- Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2☆64Updated 2 years ago
- The implementation of text classification using character level convoultion neural networks using Keras☆150Updated 2 years ago
- ☆39Updated 6 years ago
- Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.☆166Updated 5 years ago
- complete Jupyter notebook for implementation of state-of-the-art Named Entity Recognition with bidirectional LSTMs and ELMo☆64Updated 6 years ago
- keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS☆124Updated 7 years ago
- Sentence Classifications with Neural Networks☆237Updated 2 years ago
- CNN for intent classification task in a Chatbot☆101Updated 5 years ago
- A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunk…☆234Updated 6 years ago
- A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)☆153Updated 5 years ago
- Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into n…☆187Updated 6 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Tensorflow re-implementation of GAN for text summarization☆135Updated 5 years ago
- Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU☆99Updated 4 years ago
- ☆66Updated 5 years ago
- Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …☆128Updated 6 years ago
- ☆83Updated 7 years ago
- (WIP) My humble contribution to the democratization of the Chinese NLP technology☆47Updated 6 years ago
- Example code for "Real-World Natural Language Processing"☆339Updated 4 years ago
- This is our team's solution report, which achieves top 10% (305/3307) in this competition.☆59Updated 8 years ago