alexvlis / extractive-document-summarizationLinks
Extractive Document Summarization Based on Convolutional Neural Networks
☆53Updated 7 years ago
Alternatives and similar repositories for extractive-document-summarization
Users that are interested in extractive-document-summarization are comparing it to the libraries listed below
Sorting:
- Abstractive Text Summarization using Transformer☆166Updated last year
- Neural Question Generation using the SQuAD and NewsQA datasets☆110Updated 2 years ago
- MobileBERT and DistilBERT for extractive summarization☆91Updated 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
- Tutorial for first time BERT users,☆103Updated 2 years ago
- Paraphrase any question with T5 (Text-To-Text Transfer Transformer) - Pretrained model and training script provided☆185Updated 2 years ago
- Lecture summarization with BERT☆152Updated 3 years ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- Applying BERT to named entity recognition in English and Russian.☆162Updated 2 years ago
- Text2Text Language Modeling Toolkit☆303Updated 10 months ago
- A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.☆69Updated 5 years ago
- Summarization Task using Bart and T5 models.☆172Updated 5 years ago
- ⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.☆88Updated 2 years ago
- ☆66Updated 5 years ago
- A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.☆82Updated 7 years ago
- Use Language Model (LM) for Grammar Error Correction (GEC), without the use of annotated data.☆85Updated 6 years ago
- BERT fine-tuning for POS tagging task (Keras)☆79Updated 6 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
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Fine-tuning GPT-2 Small for Question Answering☆130Updated 2 years ago
- A collection of task-specific NLU datasets☆159Updated 3 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.☆153Updated 3 years ago
- Tensorflow re-implementation of GAN for text summarization☆136Updated 6 years ago
- Japanese Sentence Summarization with BERT☆49Updated 2 years ago
- ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation☆100Updated 2 years ago
- Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive…☆439Updated 6 months ago
- LSTM text generation by word. Used to generate multiple sentence suggestions based on the input words or a sentence☆27Updated 5 years ago
- An NLP system for generating reading comprehension questions☆297Updated last year