传统研究abstractive summarization的方法将摘要过程分类两步,第一步是使用无监督方法或者语言知识将关键文本提取出来;第二步是用语言规则或者文本生成技术将第一步的结果转述(paraphrase)。近期研究表明深度学习技术有很强地表示学习能力和语言生成能力,尤其是用GPU在大规模数据集上进行计算,许多学者将该技术应用在abstractiv...
[9] Lcsts: A large scale chinese short text summarization dataset:https://arxiv.org/pdf/1506.0...
Baotian Hu, Qingcai Chen, and Fangze Zhu. 2015. Lcsts: A large scale chinese short text summarization dataset. In Proceedings of EMNLP, pages 1967-1972.HU B, CHEN Q, ZHU F. LCSTS: a large scale chinese short text summarization dataset[C]// Proceedings of the 2015 Conference on ...
In the experiments, we use the Large-scale Chinese Short Text Summarization Dataset (LCSTS) to evaluate the model, and the ROUGE index was used to evaluate the results. The experimental results show that the proposed model is effective and feasible for abstractive text summarization....
paddlenlp text_summarization训练-回复 PaddleNLP是一个基于飞桨深度学习框架的自然语言处理工具包。它旨在为用户提供简单易用且高效的工具,以解决自然语言处理中的各种任务。本文将详细介绍如何使用PaddleNLP进行文本摘要(text summarization)的训练,并给出一步一步的操作指导。 一、什么是文本摘要? 文本摘要是指将一篇...
自动文摘(auto text summarization)是NLP中较难的技术,难点很多,至今并没有一个非常让人满意的、成熟的技术来解决这个问题。 想法 大家在查文献的时候,输入一个关键词之后,会返回一个paper列表,如果你只看paper的title可能会被一些标题党蒙骗,如果每篇paper都看abstract,时间会花太久,看着很烦。所以我在想,给rsar...
You can download the dataset fromhere. Implementing Text Summarization in Python using Keras It’s time to fire up our Jupyter notebooks! Let’s dive into the implementation details right away. Custom Attention Layer Keras does not officially support attention layer. So, we can either implement ...
NLP models in general, including text summarization models, perform better after being trained on a dataset that is specific for the use case. The MLOPs and model monitoring features of SageMaker make sure that the deployed model continues to perform within expectations. In this post, we used...
As mentioned, results are not directly comparable because the paper used the document sets used in the evaluation of multidocument summarization during the first Document Understanding Conference (DUC), organized by NIST (Harman and Marcu, 2001). We had chosen our dataset prior to the baseline met...
Corpus/Dataset name Publisher Release Time “X” indicates unknown month. Size Public or Not “All” indicates full open source; “Partial” indicates partially open source; “Not” indicates not open source. License Language “EN” indicates English; ...