deeppavlov / question_generation
It is a question-generator model. It takes text and an answer as input and outputs a question.
☆171Updated 6 years ago
Alternatives and similar repositories for question_generation:
Users that are interested in question_generation are comparing it to the libraries listed below
- Automatic question generation by using NLP☆207Updated 7 months ago
- Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains…☆112Updated 3 years ago
- neural question generation for reading comprehension☆344Updated 4 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into n…☆187Updated 6 years ago
- Automatic Question Generator from TEXT☆110Updated 2 years ago
- Implementation of Hobbs' algorithm for coreference resolution in python☆44Updated 4 years ago
- Neural Models for Key Phrase Detection and Question Generation☆30Updated 7 years ago
- ImplementAI Workshop on Deep NLP for Question Generation☆77Updated 6 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 6 years ago
- DAANet: Dual Ask-Answer Network for Machine Reading Comprehension☆144Updated 6 years ago
- Python Framework for Extractive Text Summarization☆113Updated 3 years ago
- ☆229Updated 6 years ago
- Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.☆93Updated 2 years ago
- ☆177Updated 6 years ago
- Python wrapper for evaluating summarization quality by ROUGE package☆164Updated 4 years ago
- State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.☆134Updated 4 years ago
- ☆108Updated 6 years ago
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆66Updated 8 years ago
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- Large corpus of uncompressed and compressed sentences from news articles.☆123Updated 7 years ago
- ☆269Updated 4 years ago
- Jack the Reader☆257Updated 6 years ago
- ☆30Updated 6 years ago
- A rule based system system for automatically generating Factoid question Answers based on "A rule based question generation framework to …☆23Updated 6 years ago
- TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.☆135Updated 7 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆158Updated 6 years ago
- A Python wrapper for the ROUGE summarization evaluation package☆251Updated 4 years ago
- Statistical NLG for spoken dialogue systems☆206Updated 3 years ago
- Building QA system for Stanford Question Answering Dataset☆247Updated 6 years ago