82 Open source projects that are alternatives of or similar to Text Summarizer Pytorch

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Document Search Engine Tool

A minimal nmt example to serve as an seq2seq+attention reference.

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Natural Language Processing notes and implementations.

Multilingual automatic text summarizer using statistical approach and extraction

Abstractive and Extractive Text summarization using Transformers.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)

Statistical and Semantical Text Summarizer in Persian Language

Generating image captions using Xception Network and Beam Search in Keras

Automatic Text Summarization (English/Arabic).

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

Beam search for neural network sequence to sequence (encoder-decoder) models.

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

reimplementing Neural Summarization by Extracting Sentences and Words

Explains nlp building blocks in a simple manner.

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.