jetnew / DrFAQLinks
DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
☆29Updated 3 years ago
Alternatives and similar repositories for DrFAQ
Users that are interested in DrFAQ are comparing it to the libraries listed below
Sorting:
- Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers☆160Updated 5 years ago
- ☆66Updated 5 years ago
- ⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.☆88Updated 2 years ago
- Semantic search using Transformers and others☆110Updated 5 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Text-to-SQL Generation for Question Answering on Electronic Medical Records☆131Updated 4 years ago
- Question Answering using Albert and Electra☆208Updated 2 years ago
- Code for the AllenNLP demo.☆198Updated 2 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
- Sentence Classifications with Neural Networks☆237Updated 2 years ago
- Question Generation using Google T5 and Text2Text☆153Updated 4 years ago
- Transfer Learning for NLP Tasks☆55Updated 6 years ago
- Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa☆66Updated 5 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆170Updated 7 years ago
- Example showing generalisation☆69Updated 5 years ago
- Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean…☆112Updated 2 years ago
- Automatic Question Generator from TEXT☆111Updated 2 years ago
- Integrating Rasa with a knowledge base to encode domain knowledge and resolve entities☆121Updated 5 years ago
- One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques☆210Updated 2 years ago
- Question-answer generation from text☆71Updated 2 years ago
- 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 ab…☆114Updated 4 years ago
- Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.☆193Updated 2 years ago
- Use ML-Annotate to label data for machine learning purposes☆109Updated 5 years ago
- Developing a Knowledge Graph-based Question and Answering program to extract information from huge dataset☆95Updated 2 years ago
- Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.☆201Updated last year
- Building QA system for Stanford Question Answering Dataset☆248Updated 7 years ago
- Summarization Task using Bart and T5 models.☆171Updated 5 years ago
- Find the best hyperparameters for your Rasa NLU model☆46Updated 3 years ago
- Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and othe…☆114Updated 5 years ago