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 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:
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Named Entity Recognition with BERT using TensorFlow 2.0☆213Updated 2 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.☆151Updated 3 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆70Updated 5 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☆206Updated last year
- Question-answer generation from text☆72Updated last year
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆187Updated last year
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 5 years ago
- Japanese Sentence Summarization with BERT☆49Updated 2 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Generating responses with pretrained XLNet and GPT-2 in PyTorch.☆118Updated 2 years ago
- Codebase for the Medium Article on Fine-tuning GPT2 for Text Generation☆70Updated 4 years ago
- Question Answering task using Deep Learning on SQuAD dataset☆21Updated 2 years ago
- BERT for question answering starting with HotpotQA☆167Updated 6 years ago
- ☆124Updated 3 years ago
- Question Generation using Google T5 and Text2Text☆154Updated 4 years ago
- Building QA system for Stanford Question Answering Dataset☆247Updated 6 years ago
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Deep Keyphrase Extraction using BERT☆258Updated 3 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆159Updated 5 years ago
- Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU☆98Updated 4 years ago
- NLP model implementations with keras for beginner☆151Updated 2 years ago
- We use bert model to fine-tune dialogue task.☆22Updated 5 years ago
- Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179☆192Updated 6 months ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆160Updated 4 years ago
- Multi Label text classification using bert☆155Updated 5 years ago
- Code for unsupervised aspect extraction, using Keras and its Backends☆91Updated last year