检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

84 篇 会议
22 篇 期刊文献

馆藏范围

106 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

66 篇 工学
- 59 篇 计算机科学与技术...
- 55 篇 软件工程
- 20 篇 控制科学与工程
- 12 篇 信息与通信工程
- 5 篇 化学工程与技术
- 5 篇 农业工程
- 3 篇 机械工程
- 1 篇 仪器科学与技术
- 1 篇 电气工程
- 1 篇 电子科学与技术（可...
37 篇 管理学
- 28 篇 图书情报与档案管...
- 18 篇 管理科学与工程(可...
21 篇 理学
- 15 篇 数学
- 5 篇 化学
- 5 篇 统计学（可授理学、...
- 4 篇 物理学
- 1 篇 系统科学
5 篇 农学
- 5 篇 作物学
1 篇 文学
- 1 篇 新闻传播学
1 篇 医学
- 1 篇 临床医学

主题

21 篇 natural language...
15 篇 speech processin...
15 篇 laboratories
11 篇 data mining
7 篇 support vector m...
6 篇 natural language...
6 篇 feature extracti...
6 篇 ontology
5 篇 knowledge engine...
5 篇 learning systems
5 篇 electronic mail
5 篇 ontologies
5 篇 fuzzy systems
5 篇 semantics
5 篇 testing
5 篇 information retr...
5 篇 training
4 篇 information anal...
4 篇 search engines
4 篇 terminology

机构

74 篇 moe-ms key labor...
6 篇 school of inform...
4 篇 moe-ms key labor...
4 篇 school of comput...
3 篇 moe-ms key labor...
3 篇 institute for in...
3 篇 school of inform...
2 篇 moe-ms key labor...
2 篇 school of comput...
2 篇 moe-ms key lab o...
2 篇 school of foreig...
2 篇 moe-ms key lab. ...
2 篇 department of ma...
2 篇 school of inform...
2 篇 department of ne...
2 篇 college of compu...
2 篇 school of comput...
1 篇 moe-ms key labor...
1 篇 school of inform...
1 篇 department of co...

作者

29 篇 zhao tiejun
25 篇 tiejun zhao
20 篇 dequan zheng
19 篇 zheng dequan
14 篇 sheng li
10 篇 li sheng
10 篇 tie-jun zhao
7 篇 zhao tie-jun
6 篇 de-quan zheng
6 篇 zhu conghui
5 篇 feng yu
4 篇 li hanjing
4 篇 xu bing
4 篇 liang huashen
4 篇 tiejun
4 篇 zhao
4 篇 liang ying-hong
4 篇 hao yu
4 篇 yu hao
3 篇 ying-hong liang

语言

106 篇 英文

检索条件"机构=MOE-MS Key Lab of National Language Processing and speech Harbin Institute of Technology"

共 106 条记录，以下是61-70 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Where scene happened in text on relevant measures

Where scene happened in text on relevant measures

引用

作者： Li, Hanjing Dong, Ruizhi Specail Eduaction School Beijing Union University 100075 Beijing China MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology No. 92 West Dazhi Street NanGang Harbin 150001 China

ISBN: (纸本)9783642256608

This paper proposes a method to identify scenes in texts with relevant measures, namely to infer the locations where actions take place without any explicit description in texts. Firstly, 48 scene categories are classified by the sememe hypernym and concept similarity on HowNet. Secondly, the hierarchical scene information tuples generated on action tuples and scenes from corpus are extracted by calculating the relevancy for each tuple, and then the knowledge base is generated. Finally, the constructed knowledge base is used to identify scenes in novel texts, and the experimental results on 1-best and voting shows the effective of the method. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Knowledge based systems

来源：评论

学校读者我要写书评

暂无评论

Topic model-based micro-blog user interest analysis

Topic model-based micro-blog user interest analysis

引用

International Conference on Audio, language and Image processing, ICALIP

作者： Xinchen Hu Dequan Zheng Wanglong Sun Sheng Li MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

ISBN: (纸本)9781479939046

As a popular Internet information exchange platform, Micro-Blog like Twitter attracts a large amount of users to share information through short and noisy messages. In this paper, we aim to discover Micro-Blog users' interest using topic model. In the topic model, users' metadata such as labels are taken as new features and been put into user document which will be used to infer user's interest. Experimental results indicate that this method gives satisfying user interest and is capable for reality project. This paper also introduce two applications based on user interest detected before: 1) keywords extraction based on interest (We calculate word entropy using word topic distribution as new feature). 2) User clustering based on user interest.

关键词： Load modeling Data models Analytical models Training Semantics Entropy Training data

来源：评论

学校读者我要写书评

暂无评论

Softmax-margin training for statistical machine translation

Softmax-margin training for statistical machine translation

引用

International Conference on Natural Computation (ICNC)

作者： Wenwen Zhang Lemao Liu Hailong Cao Tiejun Zhao MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

The training procedure is very important in statistical machine translation (SMT). It has a great influence on the final performance of a translation system. The widely used method in SMT is the minimum error rate training (MERT). It is effective to estimate the feature function weights. However, MERT does not use regularization and has been observed to over-fit. In this paper, we describe a method named softmax-margin, which is a modification of the max-margin training. This approach is simple, efficient, and easy to implement. We conduct our work using data sets from the WMT shared tasks. The results of experiment on small scale French-English translation task reach a competitive performance compared to MERT.

关键词： Training NIST Cost function Probabilistic logic Error analysis Gold

来源：评论

学校读者我要写书评

暂无评论

A Fusion of Multiple Classifiers Approach Based on Reliability function for Text Categorization

A Fusion of Multiple Classifiers Approach Based on Reliabili...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Qingxuan Chen Dequan Zheng Tiejun Zhao Sheng Li MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

With the development of Internet and the rapid expansion of electronic resource, text classification technology is becoming an effective organization and management tool to deal with information. In this paper, a method for text categorization based on the fusion of multiple classifiers was presented, reliability function was introduction to select the text that hard to give determine by the main classifier, for these texts, multiple classifiers were used to give the determine which category the unlabeled documents belong to by voting. Experiments showed that the performance of text classification improved by the proposed method. Compared with single classifier, this method achieved better performance, only increasing a small amount of time than using single main classifier. Besides this, this method is more stable than using single classifier for text categorization task, especially when using different corpuses to check the performance of various methods.

关键词： Text categorization Voting Support vector machines Support vector machine classification Frequency shift keying Fuzzy systems laboratories Natural language processing speech processing Internet

来源：评论

学校读者我要写书评

暂无评论

Query Translation Selection for Cross-language Information Retrieval Based on HowNet

Query Translation Selection for Cross-Language Information R...

引用

The 2008 IEEE International Conference on Natural language processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

作者： Honglei ZHU Dequan ZHENG Tiejun ZHAO MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of TechnologyHarbin 150001

Research on cross-language information retrieval (CLIR) increasingly concentrates in candidate translation selection of the keywords in the query. The accuracy of translation has a direct impact on accurate rate and recalled rate. This thesis presents three methods based on HowNet to resolve query translation ambiguity of CLIR. The first is based on semantic relation, and it uses semantic relation network of context to determine the semantic of keywords and then select the correct translation. Bilingual decaying co-occurrence model count bilingual corpus co-occurrence information which includes the times and distance value of co-occurrence, which is different from monolingual co-occurrence. To resolve the problem of sparseness in corpus and make full use of the bilingual corpus, this paper gives another model that is semantic decaying co-occurrence model. Through test and summarizing this paper gets the best algorithm to integrate the traits of the three models, which gradually optimizes the translation and gets a higher precision.

关键词： Query translation CLIR statistical method translation selection OOV

来源：评论

学校读者我要写书评

暂无评论

Identifying named entities in biomedical text based on stacked generalization

Identifying named entities in biomedical text based on stack...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Haochang Wang Tiejun Zhao MS Key Laboratory of Natural Language Processing and Speech in Harbin Institute of Technology MOE Harbin China

Biomedical named entity recognition is a basic technique in the biomedical knowledge discovery and its performance has direct effects on further discovery and processing in biomedical texts. In this paper, we present stacked generalization strategy for biomedical named entity recognition including homogeneous classifier ensembles and heterogeneous classifier ensembles based on stacked generalization. Evaluations show that stacked generalization strategy can take advantage of more useful evidences, and make use of compensation and relativity among different classifiers to learn the correlation between individual classifiers predictions and the correct prediction to improve the performances of the system. This method breaks through the limitation of single classifier and achieves promising performances.

关键词： Classification algorithms Training Data mining Stacking Data models Support vector machine classification Training data

来源：评论

学校读者我要写书评

暂无评论

Opinion Analysis Based on a Fusion of Multiple Classifiers Approach

Opinion Analysis Based on a Fusion of Multiple Classifiers A...

引用

International Conference on Natural language processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

作者： Bing XU Tie-jun ZHAO De-quan ZHENG Qing-xuan CHEN MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001

With the rapid expansion of network application, more and more customer reviews are available on-line. In this paper, A method for opinion analysis based on the fusion of multiple classifiers was presented, reliability function was introduced to select the text that is hard to determine by the main classifier, for these texts, multiple classifiers were used to determine which category the unlabeled documents belong to by voting. Experiments showed that the performance of text classification was improved by the proposed method. Compared with single classifier, this method achieved better performance, only increasing a small amount of time than using single main classifier.

关键词： Information analysis Text categorization speech analysis Voting Frequency laboratories Natural language processing speech processing Data mining Data analysis

来源：评论

学校读者我要写书评

暂无评论

Automatic Domain-Ontology Structure and Example Acquisition from Semi-Structured Texts

Automatic Domain-Ontology Structure and Example Acquisition ...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Cheng Xiao Dequan Zheng Yuhang Yang MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

This paper presents a new method to acquire domain-ontology structure and examples from semi-structured data sources. Firstly, extract domain-ontology structure, including candidate attributes extraction using certain patterns and applying a statistic method to filter out the incorrect attributes. Secondly, using domain-ontology structure as a clue, automatically generate example extraction patterns. Finally, acquire ontology examples taking advantage of the special structure feature of the Web pages. Experiments are carried out in the field of film, the precision of the ontology structure extraction is 83.7%, and the highest recall of the examples extraction reaches 90%. Experimental results demonstrate that the method developed in this paper is fairly efficient.

关键词： Ontologies Data mining Natural language processing Terminology Web pages Statistical distributions Fuzzy systems laboratories speech processing Statistics

来源：评论

学校读者我要写书评

暂无评论

Syllable-based Machine Transliteration with Extra Phrase Features 12

Syllable-based Machine Transliteration with Extra Phrase Fea...

引用

Named Entity Workshop

作者： Chunyue Zhang Tingting Li Tiejun Zhao MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

ISBN: (纸本)9781627483476

This paper describes our syllable-based phrase transliteration system for the NEWS 2012 shared task on English-Chinese track and its back. Grapheme-based Transliteration maps the character(s) in the source side to the target character(s) directly. However, character-based segmentation on English side will cause ambiguity in alignment step. In this paper we utilize Phrase-based model to solve machine transliteration with the mapping between Chinese characters and English syllables rather than English characters. Two heuristic rule-based syllable segmentation algorithms are applied. This transliteration model also incorporates three phonetic features to enhance discriminative ability for phrase. The primary system achieved 0.330 on Chinese-English and 0.177 on English-Chinese in terms of top-1 accuracy.

关键词： English English language machine ambiguity Chinese script MAPPING(MATHEMATICAL) mapping primary system

来源：评论

学校读者我要写书评

暂无评论

A clustering based fast detection algorithm for large scale duplicate emails

A clustering based fast detection algorithm for large scale ...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Lin Sun Bing-Quan Liu Bao-Xun Wang Xiao-Long Wang MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

Duplicate emails, which exist on the internet widely and are mainly caused by mailing lists, not only waste storage resource but also bring users garbage. In this paper, according to the structure and text feature of email, we put forward the concept of Mail-Duplicate-Degree, and in this way the email duplicate is firstly defined. Based on this definition, we develop an algorithm based on clustering to detect duplicate emails. By introducing a hash function provided by TRIE tree to optimize the efficiency, the algorithm gets over the slow processing speed problem existing in traditional clustering methods. Experimental results on large-scale emails have shown that the algorithm has a high precision.

关键词： Electronic mail Clustering algorithms Internet Noise Algorithm design and analysis Feature extraction Layout

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共11页 << < 2 3 4 5 6 7 8 9 10 11 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：