DL4NLP —— seq2seq+attention机制的应用：文档自动摘要（Automatic Text Summarization） - 代码天地

DL4NLP —— seq2seq+attention机制的应用：文档自动摘要（Automatic Text Summarization）

其他 2018-06-14 16:07:20 阅读次数: 0

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转载自blog.csdn.net/u010159842/article/details/80595558

DL4NLP —— seq2seq+attention机制的应用：文档自动摘要（Automatic Text Summarization）

A Survey on Automatic Text Summarization

Using Seq2Seq + Attention to process text summarization task

【读】seq2seq——（4）LCSTS: A Large Scale Chinese Short Text Summarization Dataset

Framework of Automatic Text Summarization Using Reinforcement Learning

Development of Neural Network Models in Text Summarization - 4

Development of Neural Network Models in Text Summarization - 2

【读】seq2seq——（3）Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Text Summarization 综述

NLP——Summarization

文本摘要(text summarization)一:简介概述综述与工具

文本摘要(text summarization)五: 统计模型（text_pronouns、text_teaser，feature-base）

Structural Features for Predicting the Linguistic Quality of Text: Applications to Machine Translation, Automatic Summarization and Human-Authored Text -paper

文本摘要(text summarization)四: 主题模型（LDA、LSI、NMF，topic-base）

文本摘要(text summarization)三: 图模型（textrank，graph-base）

文本摘要(text summarization)二: 经验模型（lead3，keyword，nous-base）

【DL小结4】seq2seq与attention机制

Development of Neural Network Models in Text Summarization - 3

Development of Neural Network Models in Text Summarization - 1

NLP系列项目三：Seq2Seq+Attention完成机器翻译

RBM-An approach for text summarization using deep learning algorithm

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

【读】seq2seq——（2）Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

干货｜当深度学习遇见自动文本摘要，seq2seq+attention

seq2seq和attention应用到文档自动摘要（一）

seq2seq+attention解读

pytorch seq2seq+attention 介绍

Fear the REAPER A System for Automatic Multi-Document Summarization with Reinforcement Learning

【NLP】Transformer（seq2seq model with Self-Attention）

NLP/CV：Seq2Seq→Encoder-Decoder→Seq2Seq with Attention算法的简介、案例应用之详细攻略

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