Nagakiran1 / Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot
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…
☆113Updated 3 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
- Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU☆98Updated 4 years ago
- Named Entity Recognition with BERT using TensorFlow 2.0☆212Updated 2 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 4 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- ⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.☆88Updated 2 years ago
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆159Updated 4 years ago
- Building QA system for Stanford Question Answering Dataset☆246Updated 6 years ago
- Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa☆66Updated 4 years ago
- PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.☆151Updated 3 years ago
- Japanese Sentence Summarization with BERT☆49Updated last year
- Neural text-to-text question generation☆216Updated 4 years ago
- Question Answering using Albert and Electra☆206Updated last year
- Question-answer generation from text☆71Updated last year
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆69Updated 4 years ago
- ☆125Updated 3 years ago
- BERT for question answering starting with HotpotQA☆168Updated 6 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆229Updated 4 years ago
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 5 years ago
- Automatic Question Generator from TEXT☆109Updated last year
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Use Rasa to build a FAQ bot☆75Updated 2 years ago
- Question Answering task using Deep Learning on SQuAD dataset☆21Updated 2 years ago
- Fine-tuning GPT-2 Small for Question Answering☆129Updated 2 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Text summarization starting from scratch.☆94Updated 6 months ago
- Generating responses with pretrained XLNet and GPT-2 in PyTorch.☆118Updated 2 years ago
- An intent classifier which can classifies a query into one of the 21 given intents.☆74Updated 6 years ago
- Accompanying code for the Medium article☆165Updated 5 years ago