Easy to use extractive text summarization with BERT
#计算机科学#Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
The PyTorch Implementation of SummaRuNNer
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Lecture summarization with BERT
Datasets I have created for scientific summarization, and a trained BertSum model
#自然语言处理#Text summarization starting from scratch.
Abstractive and Extractive Text summarization using Transformers.
Automagically generates summaries from html or text.
#自然语言处理#[COLING 2022] Code and Data Repo for Paper "Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization"
#自然语言处理#Code for ACL 2022 paper on the topic of long document summarization: MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
Tensorflow implementation of SummaRuNNer
Let AI create the notes of your Teams Meeting
#自然语言处理#SUMPUBMED: Summarization Dataset of PubMed Scientific Article
#自然语言处理#Automatic generation of reviews of scientific papers
Source based extractive summarizer web-app and chatbot.
An AI-powered tool for transcribing, summarizing, and creating smart clips from video and audio content.
#计算机科学#A system capable of converting Nepali speech to text and generate summary of text
Use-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).
#自然语言处理#Ultra-fast, spookily accurate text summarizer that works on any language