83 Open source projects that are alternatives of or similar to DeepChannel

🚀🚀 Fetch, parse, categorize, summarize user reviews 🚀🚀

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

non-anonymized cnn/dailymail dataset for text summarization

Code for "A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification" (IJCAI 2018)

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

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Natural Language Processing notes and implementations.

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Few-shot learning framework for opinion summarization published at EMNLP 2020.

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

(COLING'18) The source code for the paper "Structure-Infused Copy Mechanisms for Abstractive Summarization".

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

Notetaking Electron app that can answer your questions and makes summaries for you

A Dataset for Thai Text Summarization with over 310K articles.

Experiments with Hugging Face 🔬 🤗

Dynamic Entity Summarization (DynES)

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Source code for our "TitleStylist" paper at ACL 2020

US Bill Summarization Corpus

Unsupervised Controllable Text Generation (Applied to text Formalization)

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.