Using LSA and text segmentation to improve automatic Chinese dialogue text summarization     

LIU Chuan-han WANG Yong-cheng ZHENG Fei LIU De-rong 《浙江大学学报(A卷英文版)》2007,8(1):79-87

Automatic Chinese text summarization for dialogue style is a relatively new research area. In this paper, Latent Semantic Analysis （LSA） is first used to extract semantic knowledge from a given document, all question paragraphs are identified, an automatic text segmentation approach analogous to Text＇filing is exploited to improve the precision of correlating question paragraphs and answer paragraphs, and finally some ＂important＂ sentences are extracted from the generic content and the question-answer pairs to generate a complete summary. Experimental results showed that our approach is highly efficient and improves significantly the coherence of the summary while not compromising informativeness.  相似文献   

Joint rate control and scheduling for wireless uplink video streaming     

KATSAGGELOS Aggelos K. 《浙江大学学报(A卷英文版)》2006,7(5):801-810

INTRODUCTION Video streaming is becoming one of the major driving forces of next generation wireless networks. For the currently deployed cellular networks, the practical data rates are not enough to support full rate, high quality video applications. As a result, many research efforts have been devoted to adapting video content to reconcile the conflict between the high demand of video quality and the limited wireless communication resources among users. A large body of literature utiliz…  相似文献   

Abstractive headline generation using WIDL-expressions     

R. Soricut  D. Marcu 《Information processing & management》2007,43(6):1536

We present a new paradigm for the automatic creation of document headlines that is based on direct transformation of relevant textual information into well-formed textual output. Starting from an input document, we automatically create compact representations of weighted finite sets of strings, called WIDL-expressions, which encode the most important topics in the document. A generic natural language generation engine performs the headline generation task, driven by both statistical knowledge encapsulated in WIDL-expressions (representing topic biases induced by the input document) and statistical knowledge encapsulated in language models (representing biases induced by the target language). Our evaluation shows similar performance in quality with a state-of-the-art, extractive approach to headline generation, and significant improvements in quality over previously proposed solutions to abstractive headline generation.  相似文献   

面向查询的观点摘要模型研究:以Debatepedia为数据源     

余传明  郑智梁  朱星宇  安璐 《情报学报》2020,39(4):374-386

本文系统性地研究面向查询的观点摘要任务,旨在构建一种查询式观点摘要模型框架,探究不同的摘要方法对摘要效果的影响。通过综合考虑情感倾向与句子相似度,从待检文档中抽取出待摘要语句,再结合神经网络和词嵌入技术生成摘要,进而构建面向查询的观点摘要框架。从Debatepedia网站上爬取议题和论述内容构建观点摘要实验数据集,将本文方法应用到该数据集上,以检验不同模型的效果。实验结果表明,在该数据集上,仅使用基于抽取式的方法生成的观点摘要质量更高,取得了最高的平均ROUGE分数、深度语义相似度分数和情感分数,较生成式方法分别提高6.58%、1.79%和11.52%,而比组合式方法提高了8.33%、2.80%和13.86%;同时,本文提出的句子深度语义相似度和情感分数评估指标有助于更好地评估面向查询的观点摘要模型效果。研究结果对于提升面向查询的观点摘要效果,促进观点摘要模型在情报学领域的应用具有重要意义。  相似文献   

刘熙载《艺概》研究史综述     

束舒娅  徐倩 《江西教育学院学报》2011,32(2):150-156

刘熙载《艺概》研究史以时间维度为经,大致可分为五个时期;而以学界研究的不同视角为纬,又可见出各时期研究的侧重点、主导价值观和成就所在。《艺概》研究史主要成就在上世纪80年代以后20年。综合《艺概》研究不同时期的特点,不仅为《艺概》研究的进一步深入提供历史借鉴,也将引导接下来的刘熙载《艺概》研究。  相似文献   

青少年网络成瘾现象研究综述     

鲁正宏 《鸡西大学学报》2011,11(4):47-48

从青少年网络成瘾的界定、测量评估标准、相关风险因素研究、治疗和干预手段等方面进行综述,意对网络成瘾现象的相关研究提供参考。  相似文献   

近年来学界关于马克思平等观研究述评     

郑波辉 《信阳师范学院学报(哲学社会科学版)》2015,(1):31-35

马克思作为科学社会主义的创始人,其平等观是社会主义平等问题研究的首要参考。马克思所追求的平等是经济与社会领域实质意义上的平等,其平等观的构建受到西方近代资产阶级平等思想的启发,并实现对后者的批判性超越。以马克思平等观为指导的社会主义平等观与自由主义平等观相比,二者在认识平等问题的方法论、对平等与自由的价值排序以及对待"人生而不同"这一基本事实的态度等问题上均存在差异。当代社会主义市场经济实践是补足马克思平等理想实现条件的现实选择。  相似文献   

Key phrase aware transformer for abstractive summarization     

《Information processing & management》2022,59(3):102913

Abstractive summarization aims to generate a concise summary covering salient content from single or multiple text documents. Many recent abstractive summarization methods are built on the transformer model to capture long-range dependencies in the input text and achieve parallelization. In the transformer encoder, calculating attention weights is a crucial step for encoding input documents. Input documents usually contain some key phrases conveying salient information, and it is important to encode these phrases completely. However, existing transformer-based summarization works did not consider key phrases in input when determining attention weights. Consequently, some of the tokens within key phrases only receive small attention weights, which is not conducive to encoding the semantic information of input documents. In this paper, we introduce some prior knowledge of key phrases into the transformer-based summarization model and guide the model to encode key phrases. For the contextual representation of each token in the key phrase, we assume the tokens within the same key phrase make larger contributions compared with other tokens in the input sequence. Based on this assumption, we propose the Key Phrase Aware Transformer (KPAT), a model with the highlighting mechanism in the encoder to assign greater attention weights for tokens within key phrases. Specifically, we first extract key phrases from the input document and score the phrases’ importance. Then we build the block diagonal highlighting matrix to indicate these phrases’ importance scores and positions. To combine self-attention weights with key phrases’ importance scores, we design two structures of highlighting attention for each head and the multi-head highlighting attention. Experimental results on two datasets (Multi-News and PubMed) from different summarization tasks and domains show that our KPAT model significantly outperforms advanced summarization baselines. We conduct more experiments to analyze the impact of each part of our model on the summarization performance and verify the effectiveness of our proposed highlighting mechanism.  相似文献   

“热质交换原理与设备”教学方法的总结与探讨     

程向明 《科教文汇》2014,(34):70-71

“热质交换原理与设备”是建筑环境与能源应用专业的专业基础课之一,是将专业课程中有关流体的传热传质原理及相关热质交换设备的内容取出,经整理归纳而形成的一门技术基础课。基于该课程的特点,对这门课程的教学实践做了总结,本文提出了符合新教学大纲要求的“四个结合”的教学方法,以便进一步提高教学质量和教学水平,经过教学实践的检验,这种教学方法收到很好的效果。  相似文献   

Topic discovery based on text mining techniques     

Aurora Pons-Porrata  Rafael Berlanga-Llavori  José Ruiz-Shulcloper 《Information processing & management》2007

In this paper, we present a topic discovery system aimed to reveal the implicit knowledge present in news streams. This knowledge is expressed as a hierarchy of topic/subtopics, where each topic contains the set of documents that are related to it and a summary extracted from these documents. Summaries so built are useful to browse and select topics of interest from the generated hierarchies. Our proposal consists of a new incremental hierarchical clustering algorithm, which combines both partitional and agglomerative approaches, taking the main benefits from them. Finally, a new summarization method based on Testor Theory has been proposed to build the topic summaries. Experimental results in the TDT2 collection demonstrate its usefulness and effectiveness not only as a topic detection system, but also as a classification and summarization tool.  相似文献