Alternatives and similar repositories for text_summurization_abstractive_methods

Users that are interested in text_summurization_abstractive_methods are comparing it to the libraries listed below

• santhoshkolloju / Abstractive-Summarization-With-Transfer-Learning
  Abstractive summarisation using Bert as encoder and Transformer Decoder
  ☆413Updated 2 years ago
• aravindpai / How-to-build-own-text-summarizer-using-deep-learning
  In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
  ☆210Updated 3 years ago
• dongjun-Lee / text-summarization-tensorflow
  Tensorflow seq2seq Implementation of Text Summarization.
  ☆644Updated 2 years ago
• prateekjoshi565 / textrank_text_summarization
  A tutorial for Automatic Text Summarization using TextRank algorithm.
  ☆180Updated 6 years ago
• alesee / abstractive-text-summarization
  PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
  ☆152Updated 3 years ago
• billpku / NLP_In_Action
  Do NLP tasks with some SOTA methods
  ☆92Updated 4 years ago
• ThilinaRajapakse / BERT_binary_text_classification
  Accompanying code for the Medium article
  ☆164Updated 5 years ago
• cdqa-suite / cdQA
  ⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
  ☆616Updated 5 years ago
• BrambleXu / nlp-beginner-guide-keras
  NLP model implementations with keras for beginner
  ☆152Updated 2 years ago
• kamalkraj / BERT-SQuAD
  SQuAD Question Answering Using BERT, PyTorch
  ☆400Updated 2 years ago
• ibatra / BERT-Keyword-Extractor
  Deep Keyphrase Extraction using BERT
  ☆261Updated 3 years ago
• aswalin / SQuAD
  Building QA system for Stanford Question Answering Dataset
  ☆248Updated 7 years ago
• icoxfog417 / awesome-text-summarization
  The guide to tackle with the Text Summarization
  ☆1,310Updated 2 years ago
• ThilinaRajapakse / pytorch-transformers-classification
  Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classif…
  ☆309Updated 5 years ago
• chen0040 / keras-text-summarization
  Text summarization using seq2seq in Keras
  ☆292Updated 3 years ago
• adsieg / text_similarity
  Text Similarity
  ☆400Updated 5 years ago
• rohithreddy024 / Text-Summarizer-Pytorch
  Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
  ☆322Updated 5 years ago
• JRC1995 / Abstractive-Summarization
  Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
  ☆166Updated 5 years ago
• abisee / cnn-dailymail
  Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
  ☆653Updated 3 years ago
• 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 ab…
  ☆114Updated 4 years ago
• strongio / keras-bert
  A simple technique to integrate BERT from tf hub to keras
  ☆258Updated 2 years ago
• kaushaltrivedi / bert-toxic-comments-multilabel
  Multilabel classification for Toxic comments challenge using Bert
  ☆311Updated 6 years ago
• dmmiller612 / lecture-summarizer
  Lecture summarization with BERT
  ☆152Updated 2 years ago
• nlpyang / PreSumm
  code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
  ☆1,301Updated last year
• adsieg / Multi_Text_Classification
  Multi Text Classificaiton
  ☆92Updated 6 years ago
• javaidnabi31 / Multi-Label-Text-classification-Using-BERT
  Multi Label text classification using bert
  ☆155Updated 6 years ago
• kushalj001 / pytorch-question-answering
  Important paper implementations for Question Answering using PyTorch
  ☆270Updated 4 years ago
• DeepsMoseli / Bidirectiona-LSTM-for-text-summarization-
  A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
  ☆79Updated 6 years ago
• hellohaptik / multi-task-NLP
  multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
  ☆372Updated 2 years ago
• aniruddhachoudhury / BERT-Tutorials
  ☆37Updated 5 years ago