Nagakiran1 / Extending-Google-BERT-as-Question-and-Answering-model-and-ChatbotLinks
BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of data. We can extend the BERT question and answer model to work as chatbot on large text. To accomplish the understanding of more than 10 pages of data…
☆114Updated 4 years ago
Alternatives and similar repositories for Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
Users that are interested in Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot are comparing it to the libraries listed below
Sorting:
- Question-answer generation from text☆72Updated 2 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆186Updated 2 years ago
- ⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.☆88Updated 2 years ago
- Question Answering using Albert and Electra☆208Updated 2 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- BERT for question answering starting with HotpotQA☆168Updated 6 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆160Updated 5 years ago
- Building QA system for Stanford Question Answering Dataset☆248Updated 7 years ago
- Summarization Task using Bart and T5 models.☆172Updated 5 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- Deep Keyphrase Extraction using BERT☆260Updated 3 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Named Entity Recognition with BERT using TensorFlow 2.0☆214Updated 3 years ago
- Lecture summarization with BERT☆153Updated 3 years ago
- Abstractive Text Summarization using Transformer☆166Updated 2 years ago
- SQuAD Question Answering Using BERT, PyTorch☆400Updated 2 years ago
- Fine-tuning GPT-2 Small for Question Answering☆130Updated 2 years ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- ☆66Updated 5 years ago
- ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.☆617Updated 5 years ago
- Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU☆100Updated 4 years ago
- Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.☆192Updated 2 years ago
- Generating responses with pretrained XLNet and GPT-2 in PyTorch.☆118Updated 3 years ago
- Question Generation using Google T5 and Text2Text☆152Updated 4 years ago
- ☆125Updated 4 years ago
- Important paper implementations for Question Answering using PyTorch☆270Updated 4 years ago
- Text Classification using transformer based models☆24Updated 5 years ago
- MobileBERT and DistilBERT for extractive summarization☆92Updated 2 years ago
- NLP model implementations with keras for beginner☆152Updated 3 years ago