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1.
基于双层级联文本分类的简历信息抽取   总被引:2,自引:1,他引:1  
本文提出了一种基于双层级联文本分类的方法,用于简历信息的自动抽取。本方法将简历文本分解为文本块和文本串,并将简历中包含的信息分解为概要信息与详细信息。首先对简历文本中的文本块进行切分与分类,抽取出概要信息,然后选择可能包含详细信息的文本块,将其切分为文本串,再通过对文本串的分类抽取出详细信息。对1200份中文简历的实验结果表明,本方法适用于简历信息的自动抽取和管理。  相似文献   
2.
戚东峰  黄乐天 《中国激光》1993,20(9):696-699
本文提出一种一次性提取两幅图像相同或相异部分信息的新方法。两束受待处理图像调制的单色光波相干叠加形成全息图,再现后即可得到两幅图像的相同或相异部分的信息。该提取方法利用了图像相乘,并考虑到半波损失效应,光路简单,调节容易。若利用光致折变晶体可实现实时在线提取。给出了实验结果。  相似文献   
3.
Traditional pattern representation in information extraction lack in the ability of representing domainspecific concepts and are therefore devoid of flexibility. To overcome these restrictions, an enhanced pattern representation is designed which includes ontological concepts, neighboring-tree structures and soft constraints. An information-extraction inference engine based on hypothesis-generation and conflict-resolution is implemented.The proposed technique is successfully applied to an information extraction system for Chinese-language query front-end of a job-recruitment search engine.  相似文献   
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For members of the research community it is vital to stay informed about conferences, workshops, and other research meetings relevant to their field. These events are typically announced in calls for papers (CFPs) that are distributed via mailing lists. We employ Conditional Random Fields for the task of extracting key information such as conference names, titles, dates, locations and submission deadlines from CFPs. Extracting this information from CFPs automatically has applications in building automated conference calendars and search engines for CFPs. We combine a variety of features, including generic token classes, domain-specific dictionaries and layout features. Layout features prove particularly useful in the absence of grammatical structure, improving average F1 by 30% in our experiments.  相似文献   
6.
基于时空分析的线索性事件的抽取与集成系统研究   总被引:5,自引:0,他引:5  
信息抽取技术能够提供高质量的检索服务。本文面向网络新闻事件,对人们感兴趣的事件关键信息进行了抽取和集成。系统中采用了如下的方法、策略:(1)利用句型模板构造抽取规则,然后直接从经过时间短语和空间短语识别和规范化处理的文本中抽取事件信息,从而跳过了深层句法分析,降低了实现系统的难度;(2)利用事件的规范化的时空信息关联不同文档中的同一事件,进行事件合并;(3)文档发生事件转移时对文档进行事件切分,从而解决了文档内不同事件信息的归并问题。初步实验结果表明:本文采用的方法和策略是有效的。  相似文献   
7.
基于事件框架的信息抽取系统   总被引:8,自引:1,他引:7  
信息抽取技术能够提供高质量的检索服务。本文提出一种基于框架的信息抽取模式并建立统一的灾难性事件框架,利用框架的继承-归纳特性简化系统实现过程,概括事件信息,并提出按时间流顺序的线索性文件抽取的输出方式。本文使用这种方法建立了一个灾难性事件信息抽取系统。实验证明本文中的方法是有效的。  相似文献   
8.
This paper plans an end-to-end method for extracting information from tables embedded in documents; input format is ASCII, to which any richer format can be converted, preserving all textual and much of the layout information. We start by defining table. Then we describe the steps involved in extracting information from tables and analyse table-related research to place the contribution of different authors, find the paths research is following, and identify issues that are still unsolved. We then analyse current approaches to evaluating table processing algorithms and propose two new metrics for the task of segmenting cells/columns/rows. We proceed to design our own end-to-end method, where there is a higher interaction between different steps; we indicate how back loops in the usual order of the steps can reduce the possibility of errors and contribute to solving previously unsolved problems. Finally, we explore how the actual interpretation of the table not only allows inferring the accuracy of the overall extraction process but also contributes to actually improving its quality. In order to do so, we believe interpretation has to consider context-specific knowledge; we explore how the addition of this knowledge can be made in a plug-in/out manner, such that the overall method will maintain its operability in different contexts.The opinions expressed in this article are the responsibility of the authors and do not necessarily reflect those of Banco de Portugal.  相似文献   
9.
Tables appearing in natural language documents provide a compact method for presenting relational information in an immediate and intuitive manner, while simultaneously organizing and indexing that information. Despite their ubiquity and obvious utility, tables have not received the same level of formal characterization enjoyed by sentential text. Rather, they are modeled in terms of geometry, simple hierarchies of strings and database-like relational structures. Tables have been the focus of a large volume of research in the document image analysis field and lately, have received particular attention from researchers interested in extracting information from non-trivial elements of web pages. This paper provides a framework for representing tables at both the semantic and structural levels. It presents a representation of the indexing structures present in tables and the relationship between these structures and the underlying categories. Matthew Hurst graduated from Edinburgh University in 1992 and completed an MPhil at Cambridge in Computer Speech and Language Processing. He then worked at The University of Edinburgh on a number of projects involving text and document analysis before enroling in the PhD programme. While studying for his PhD, he completed a European Science and Technology Fellowship in Japan. After working for IBM Research, Tokyo he moved tothe United States of America to work for a number of companies with unique applications utilizing applied natural language processing and document analysis. He is currently the Director of Science and Innovation at Nielsen BuzzMetrics.  相似文献   
10.
Several recent Information Extraction (IE) systems have been restricted to the identification facts which are described within a single sentence. It is not clear what effect this has on the difficulty of the extraction task or how the performance of systems which consider only single sentences should be compared with those which consider multiple sentences. This paper compares three IE evaluation corpora, from the Message Understanding Conferences, and finds that a significant proportion of the facts mentioned therein are not described within a single sentence. Therefore systems which are evaluated only on facts described within single sentences are being tested against a limited portion of the relevant information in the text and it is difficult to compare their performance with other systems. Further analysis demonstrates that anaphora resolution and world knowledge are required to combine information described across multiple sentences. This result has implications for the development and evaluation of IE systems.
Mark StevensonEmail:
  相似文献   
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