本文提出了一种中文自动文摘的方法。
The paper presents an approach for Chinese text summarization.
最后，概述了中文自动文摘的研究状况。
In the end, the research status of Chinese automatic abstracting is outlined.
文本自动综述是自动文摘在多文档上的推广。
Automatic multi-document summarization is an outgrowth of single document summarization.
自动文摘是自然语言处理领域的一项重要的研究课题。
The research of automatic abstract is an important and difficult point in the field of natural language processing.
自动文摘一直是自然语言处理领域研究的重点和难点。
The research of automatic abstract is an important and difficult point in the field of natural language processing.
开发了一个基于概念向量空间模型的中文自动文摘系统。
We Construct a system of Chinese automatic summarization based on conceptual vector space model.
针对面向查询的多文档自动文摘，本文提出了一种系统实现方法。
In this paper, we propose an approach to achieve a system for query-focused multi-document summarization.
多文档自动文摘技术日益成为自然语言处理领域的一个研究热点。
The multi-document summarization technology is becoming a research focus in the field of natural language processing.
文本倾向性识别在信息过滤、自动文摘、文本分类等领域有广泛的应用前景。
Text orientation recognition has broad application in some field such as information filtering, automatic abstracting and text classification.
针对当前自动文摘方法的不足，提出了基于文本聚类的自动文摘实现方法。
The method of automatic abstracting based on text clustering was brought forward to overcome the shortages of the current methods of automatic abstracting.
首先阐述了人们进行自动文摘研究的必要性，并介绍了自动文摘的技术背景。
In this paper, the author first discusses the necessity of automatic abstracting, and then introduces its technology background.
实验表明该方法可行，对自动文摘系统的设计具有借鉴意义和深入研究的价值。
Experiments proved that it is feasible to use the method to develop an automatic abstracting system, which is valuable for further study in more depth.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
At the fields of spam filtering, information security and Automatic Abstracting, text orientation identification is used widely.
文本倾向性识别在垃圾邮件过滤、信息安全和自动文摘等领域都有广泛的应用。
At the fields of spam filtering, information security and automatic summarizations, text orientation identification is used widely.
本文在最后还探讨了自动文摘在“知识发现”和文本信息挖掘领域内的初步应用。
In the end, the author discusses the application of automatic abstracting in the KDD (Knowledge Discovery from the Data) field.
该文描述的算法给出了基于层次词典的关键字提取和基于语料库的自动文摘的实现。
The algorithm given by the paper implements both keywording and abstracting while the former is based on a hierarchical dictionary and the latter on the corpus.
与仅基于内容的自动文摘系统相比较，评测结果显示，该系统生成的摘要质量有明显提高。
The proposed system is compared to system based on content and it is shown that it produces either comparable or better summaries overall.
文本的形式化表示一直是文本检索、自动文摘和搜索引擎等信息检索领域关注的基础性问题。
Text Representation has been the fundamental problem in Information Retrieval, such as text retrieval, automatic summary and search engine.
传统的自动文摘方法基于词语统计抽取文摘句，未进行文本的语义分析，导致文摘精度不高。
Most of the previous summarizing methods are based on word counting, which misses deep semantic analysis of texts, so the generated abstract is unsatisfying.
如何正确有效地确定文档的子主题边界对于自动文摘、问答系统等自然语言处理应用是非常重要的。
How to subdivide text into multi-paragraph units is an important issue in many NLP applications such as automatic summarization and QA system.
本文的研究成果可以很好地应用于自动内容抽取、自动问答系统、话题追踪结果及自动文摘系统中。
This paper' s research can be used very well in automatic content extraction, auto QS system, topic detection and tracking, automatic summary system and so on.
为解决词频矩阵的词频维数过大和矩阵过于稀疏的问题，提出一种子主题区域划分的多文档自动文摘方法。
In order to solve the greatly dimension of word frequency and sparse matrix, this paper proposes a multi-document summarization method based on sub-topics area partition.
用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
同时，语义褒贬倾向研究也为文本分类、自动文摘、文本过滤等自然语言处理的研究提供了新的思路和手段。
Semantic orientation inference has become a meaningful tool, which could provide useful information for text classification, summarization, filtering etc.
BLIMS系统包括信息自动分类与关键字提取子系统、信息自动文摘子系统和双语信息库BLIB及其存储与检索子系统。
There are three parts of BLIMS, i. e. auto-classifying and indexing system, auto-abstracting system, and BLIB storing and retrieving system.
句子间相似度的计算在自然语言处理的各个领域都占有很重要的地位，在多文档自动文摘技术中，句子间相似度的计算是一个关键的问题。
Sentence similarity computation is very important in all the fields of Natural Language Processing. In Multi-document Summarization Technology, sentence similarity computation is a key problem.
文摘：主要讨论DSP技术及现场总线技术的特点及其在水电站自动化中的应用和发展前景。
Abstract: The character of DSP and Site Bus technique, its application and prospect in automation of hydropower station are discussed in this paper.
中文摘要：产品包装是一个非常繁琐的工作，因为其是一个重复的过程，所以比较容易实现自动化。
ABSTRACT: Product packaging is a very tedious work, because it is a repeat of the process, it is easier to automate.
中文摘要：产品包装是一个非常繁琐的工作，因为其是一个重复的过程，所以比较容易实现自动化。
ABSTRACT: Product packaging is a very tedious work, because it is a repeat of the process, it is easier to automate.
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