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:
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆185Updated 2 years ago
- Named Entity Recognition with BERT using TensorFlow 2.0☆214Updated 2 years ago
- BERT for question answering starting with HotpotQA☆168Updated 6 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU☆99Updated 4 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
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Question-answer generation from text☆72Updated 2 years ago
- Deep Keyphrase Extraction using BERT☆260Updated 3 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆160Updated 4 years ago
- Abstractive Text Summarization using Transformer☆166Updated last year
- Named Entity Recognition with Pretrained XLM-RoBERTa☆90Updated 4 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- MobileBERT and DistilBERT for extractive summarization☆91Updated 2 years ago
- Building QA system for Stanford Question Answering Dataset☆248Updated 7 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- ☆124Updated 4 years ago
- PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.☆152Updated 3 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Applying BERT to named entity recognition in English and Russian.☆162Updated 2 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆109Updated 2 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa☆66Updated 5 years ago
- Lecture summarization with BERT☆152Updated 2 years ago
- ☆66Updated 5 years ago
- Generating responses with pretrained XLNet and GPT-2 in PyTorch.☆118Updated 3 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆230Updated 4 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago