tiexueyl Goto Github PK

aredsumsentrank

Code for Paper "Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization"

augfpn

source code of AugFPN

bertsum-chinese

chinese bertsum ； bertsum 抽取式模型中文版本；给出案例数据、全代码注释；下载即可训练、预测、学习

chinese_summarizer

一个关于中文的抽取式和基于BERT的摘要模型

chinesebert

cliff_summ

Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"

dialogsum

DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021

dm_summarization-of-news-articles-using-fuzzy-logic-scoring

Text Summarization using Fuzzy Logic Scoring

drn_cvpr2020

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

guided_summarization

hmnet

Official Implementation of "A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining""

mspfn

Multi-Scale Progressive Fusion Network for Single Image Deraining

nlg-yongzhuo

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlp-notebook

NLP 领域常见任务的实现，包括新词发现, 以及基于pytorch的词向量、中文文本分类、实体识别、摘要生成等。

noisysumm

Codes for NAACL 2021 paper 'Noisy Self-Knowledge Distillation for Text Summarization'

text-summarization-papers

An Exhaustive Paper List for Text Summarization

text-summarization-repo

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

textrank4zh

:deciduous_tree:从中文文本中自动提取关键词和摘要

tinybert

简洁易用版TinyBert：基于Bert进行知识蒸馏的预训练语言模型

topic-dialog-summ

AAAI-2021 paper: Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.

what-i-have-read

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers