akanimax / natural-language-summary-generation-from-structured-dataLinks
Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text
☆188Updated 6 years ago
Alternatives and similar repositories for natural-language-summary-generation-from-structured-data
Users that are interested in natural-language-summary-generation-from-structured-data are comparing it to the libraries listed below
Sorting:
- Python Framework for Extractive Text Summarization☆113Updated 3 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆158Updated 6 years ago
- DAANet: Dual Ask-Answer Network for Machine Reading Comprehension☆144Updated 6 years ago
- It is a question-generator model. It takes text and an answer as input and outputs a question.☆170Updated 6 years ago
- Neural Paraphrase Generation☆177Updated 2 years ago
- Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html☆139Updated 2 years ago
- Generating labels for topics automatically using neural embeddings☆185Updated 4 months ago
- State-of-the-art Supervised Sentence Simplification System from ACL 2014☆46Updated 6 years ago
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆107Updated 7 years ago
- Statistical NLG for spoken dialogue systems☆206Updated 3 years ago
- CRF to detect named entities (primarily names of people)☆119Updated 7 years ago
- Neural text-to-text question generation☆216Updated 4 years ago
- A Deep Generative Framework for Paraphrase Generation Implementaion☆75Updated 7 years ago
- Ranking Sentences for Extractive Summarization with Reinforcement Learning☆274Updated 5 years ago
- News summarization using sequence to sequence model with attention in TensorFlow.☆188Updated 7 years ago
- Uses Recurrent Neural Network (LSTM/GRU/basic_RNN units) for summarization of amazon reviews☆132Updated 7 years ago
- Implementation of Hobbs' algorithm for coreference resolution in python☆44Updated 5 years ago
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆66Updated 8 years ago
- Jack the Reader☆258Updated 6 years ago
- A sequence to sequence model for abstractive text summarization☆78Updated 7 years ago
- Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in …☆127Updated 6 years ago
- Different datasets for developing and testing keyword extraction algorithms☆109Updated 10 years ago
- Python wrapper for evaluating summarization quality by ROUGE package☆163Updated 5 years ago
- Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)☆157Updated 6 years ago