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

577 篇 会议
3 册 图书

馆藏范围

580 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

362 篇 工学
- 355 篇 计算机科学与技术...
- 225 篇 软件工程
- 60 篇 信息与通信工程
- 41 篇 生物工程
- 34 篇 控制科学与工程
- 26 篇 电气工程
- 18 篇 生物医学工程（可授...
- 17 篇 网络空间安全
- 14 篇 石油与天然气工程
- 11 篇 化学工程与技术
- 10 篇 光学工程
- 5 篇 安全科学与工程
- 4 篇 仪器科学与技术
- 4 篇 建筑学
112 篇 理学
- 56 篇 数学
- 42 篇 生物学
- 23 篇 统计学（可授理学、...
- 22 篇 物理学
- 20 篇 系统科学
- 10 篇 化学
94 篇 管理学
- 59 篇 图书情报与档案管...
- 39 篇 管理科学与工程(可...
- 17 篇 工商管理
23 篇 文学
- 21 篇 外国语言文学
14 篇 医学
- 11 篇 临床医学
- 10 篇 基础医学(可授医学...
- 6 篇 药学(可授医学、理...
13 篇 教育学
- 13 篇 教育学
11 篇 法学
- 10 篇 社会学
8 篇 经济学
- 8 篇 应用经济学
3 篇 农学
1 篇 军事学

主题

131 篇 natural language...
129 篇 machine learning
64 篇 deep learning
44 篇 accuracy
40 篇 training
35 篇 sentiment analys...
30 篇 feature extracti...
27 篇 adversarial mach...
25 篇 data models
24 篇 semantics
23 篇 machine learning...
22 篇 computational mo...
20 篇 analytical model...
18 篇 data mining
18 篇 natural language...
18 篇 adaptation model...
17 篇 contrastive lear...
17 篇 predictive model...
16 篇 support vector m...
15 篇 transformers

机构

4 篇 shanghai jiao to...
3 篇 carnegie mellon ...
3 篇 pune
3 篇 school of mathem...
3 篇 shanghai maritim...
3 篇 school of comput...
3 篇 manipal universi...
2 篇 wuhan institute ...
2 篇 wuhan second shi...
2 篇 department of ar...
2 篇 changchun univer...
2 篇 sctr's pune inst...
2 篇 school of comput...
2 篇 commercial aircr...
2 篇 shandong univers...
2 篇 jilin animation ...
2 篇 the hong kong po...
2 篇 jinan university
2 篇 silc business sc...
2 篇 guangdong instit...

作者

3 篇 shengyang li
3 篇 hong huo
3 篇 shijie yang
3 篇 tao fang
3 篇 yunfei liu
2 篇 mouncif hicham
2 篇 ukhalkar prakash
2 篇 sharma neha
2 篇 rudi sutomo
2 篇 andersson karl
2 篇 herwig unger
2 篇 lingyun zhao
2 篇 bing gu
2 篇 fang tao
2 篇 longfei li
2 篇 li yuancheng
2 篇 bhate manasi
2 篇 tasnim farzana
2 篇 li hong
2 篇 bagade anant m.

语言

549 篇 英文
30 篇 其他
2 篇 中文

检索条件"任意字段=7th International Conference on Machine Learning and Natural Language Processing, MLNLP 2024"

共 580 条记录，以下是81-90 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：

learning Word Reorderings for Hierarchical Phrase-based Statistical machine Translation 53

Learning Word Reorderings for Hierarchical Phrase-based Stat...

引用

53rd Annual Meeting of the Association-for-Computational-Linguistics (ACS) / 7th international Joint conference on natural language processing of the Asian-Federation-of-natural-language-processing (IJCNLP)

作者： Zhang, Jingyi Utiyama, Masao Sumita, Eiichro Zhao, Hai Natl Inst Informat & Commun Technol 3-5Hikaridai Keihanna Sci City Kyoto 6190289 Japan Nara Inst Sci & Technol Grad Sch Informat Sci Nara 6300192 Japan Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Key Lab Shanghai Educ Commiss Intelligent Interact Shanghai 200240 Peoples R China

ISBN: (纸本)9781941643730

Statistical models for reordering source words have been used to enhance the hierarchical phrase-based statistical machine translation system. Existing word reordering models learn the reordering for any two source words in a sentence or only for two continuous words. this paper proposes a series of separate sub-models to learn reorderings for word pairs with different distances. Our experiments demonstrate that reordering sub-models for word pairs with distance less than a specific threshold are useful to improve translation quality. Compared with previous work, our method may more effectively and efficiently exploit helpful word reordering information.

关键词： Computer aided language translation

来源：评论

学校读者我要写书评

暂无评论

Corpora for Automatically learning to Map natural language Questions into SQL Queries 7

Corpora for Automatically Learning to Map Natural Language Q...

引用

7th international conference on language Resources and Evaluation (LREC)

作者： Giordani, Alessandra Moschitti, Alessandro Univ Trent Dept Comp Sci & Informat Engn I-38100 Povo TN Italy

ISBN: (纸本)9782951740860

Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in natural language (NL) processing. this problem can be addressed by using machine learning algorithms to generate a function that find mappings between natural language and programming language semantics. For this purpose suitable annotated and structured data are required. In this paper, we describe our method to construct and semi-automatically annotate these kinds of data, consisting of pairs of NL questions and SQL queries. Additionally, we describe two different datasets obtained by applying our annotation method to two well-known corpora, GEOQUERIES and RESTQUERIES. Since we believe that syntactic levels are important, we also generate and make available relational pairs represented by means of their syntactic trees whose lexical content has been generalized. We validate the quality of our corpora by experimenting with them and our machine learning models to derive automatic NL/SQL translators. Our promising results suggest that our corpora can be effectively used to carry out research in the field of natural language interface to database.

关键词： Syntactics

来源：评论

学校读者我要写书评

暂无评论

Experimental Disease Prediction Research on Combining natural language processing and machine learning 7

Experimental Disease Prediction Research on Combining Natura...

引用

7th IEEE international conference on Computer Science and Network Technology (ICCSNT)

作者： Yu, Hong Qing Univ Bedfordshire Sch Comp Sci & Technolgy Luton Beds England

ISBN: (纸本)9781728132990

Nowadays Artificial Intelligent (AI) technologies are applied widely in many different areas to assist knowledge gaining and decision-making tasks. Especially, health information system can get most benefits from the AI advantages. In particular, symptoms based disease prediction research and production became increasingly popular in the healthcare sector recently. Various researchers and organizations have turned their interest in using modern computational techniques to analyze and develop new approaches that can efficiently predict diseases with reasonable accuracy. In this paper, we propose a framework to evaluate the efficiency of applying both machine learning (ML) and Nature language processing (NLP) technologies for disease prediction system. As an example, we scraped a disease-symptom dataset with NLP features from one of the UK most trustable National Health Service (NHS) website. In addition, we will exam our data in depth having symptom frequency, similarity and clustering analysis. As result, we can see that the prediction can have a very positive efficient rate but still open issues need to be addressed.

关键词： Artificial Intelligent Data analysis machine learning health Nature language processing

来源：评论

学校读者我要写书评

暂无评论

machine learning Techniques for Descriptive Answer Evaluation: A Comprehensive Survey 7

Machine Learning Techniques for Descriptive Answer Evaluatio...

引用

7th international conference on Inventive Computation Technologies, ICICT 2024

作者： Moholkar, Kavita Chaturvedi, Manohar Jain, Aryan Parkhe, Ajinkya Singh, Karan JSPM's Rajarshi Shahu College of Engineering Computer Engineering Department Pune India

ISBN: (纸本)9798350359299

this research study intends to assist the examination board in evaluating the responses based on the level of question difficulty determined by the board. As an initial step, this study reviews numerous approaches and techniques for evaluating descriptive answers using machine learning. In order to evaluate descriptive responses automatically, this research study proposes a novel approach that makes use of various machine learning, natural language processing, and tools like WordNet, Word Mover's Distance (WMD), cosine similarity, Latent Semantic Analysis (LSA), Word2vec, LSTM Bi-directional Encoder Representation from Transformer. this analysis has examined 20 articles that were published in the recent years, from 2012 to 2022. Based on this research and investigation, this study concludes LSTM as the optimum method for descriptive answer evaluation using machine learning techniques. With the aim to increase the precision and the efficiency of descriptive answer evaluation, research works have been actively conducted to develop these methods. © 2024 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Empowering Precision in Financial News: A Revolution in Editorial Classification through Cutting-Edge natural language processing 7

Empowering Precision in Financial News: A Revolution in Edit...

引用

7th international conference on natural language processing and Information Retrieval (NLPIR)

作者： Khunti, Shravan Kureshi, Faizah Ankola, Rahulkumar Kumar, Prikshit Chandigarh Univ Ajitgarh India Vellore Inst Technol Chennai Tamil Nadu India JC Bose Univ Sci & Technol YMCA Faridabad India

ISBN: (纸本)9798400709227

Amidst the continuous stream of diverse data on the Bloomberg terminal, distinguishing editorial news articles from regular articles is critical to aid its users in tailoring their news experience and further analyzing the impact of news on global financial markets. In this paper, we propose various Artificial Intelligence and Neural Networks models regarding developing an editorial classifier that generalizes well across various news sources. the training set comprises articles published by news sources from the US. We compare the performance of these models using the Aggregate F1-measure and Binary Classification Performance Metric as evaluation metrics to account for the presence of class imbalance in our data. Further, we gauged our models by comparing their performance on a Zero-Shot dataset which comprised 1805 news articles published by Metro Winnipeg, a Canadian news source.

关键词： natural language processing (NLP) Editorial Classification Financial News Analysis machine learning in Finance Text Classification Algorithms Precision in Content Curation Data Stream Analysis Bloomberg Terminal Integration User Experience in News Consumption

来源：评论

学校读者我要写书评

暂无评论

Disambiguating effectively Chinese polyphonic ambiguity based on unify approach

Disambiguating effectively Chinese polyphonic ambiguity base...

引用

7th international conference on machine learning and Cybernetics

作者： Huang, Feng-Long Natl United Univ Dept Comp Sci & Informat Engn Lienda 36003 Miaoli Taiwan

ISBN: (纸本)9781424420957

One of the difficult tasks on natural language processing (NLP) is to resolve the sense ambiguity of characters or words on text, such as polyphones, homonymy, and homograph. the paper addresses the ambiguity issue of Chinese character polyphones and disambiguity approaches for such issues. three methods, dictionary matching, language models and voting scheme, are used to disambiguate the prediction of polyphones. the best precision rate for these methods achieves 92.65%. Furthermore we proposed the unify approaches to improve the performance with respect to various threshold value. Comparing with the well-known MS Word 2007, our approach is Superior and enhances the final precision rate up to 93.32%.

关键词： sense disambiguity language model voting scheme unify approach

来源：评论

学校读者我要写书评

暂无评论

Abstractive Multi-Document Summarization via Phrase Selection and Merging 53

Abstractive Multi-Document Summarization via Phrase Selectio...

引用

作者： Bing, Lidong Li, Piji Liao, Yi Lam, Wai Guo, Weiwei Passonneau, Rebecca J. Carnegie Mellon Univ Machine Learning Dept Pittsburgh PA 15213 USA Chinese Univ Hong Kong Dept Syst Engn & Engn Management Hong Kong Peoples R China Yahoo Labs Sunnyvale CA USA Columbia Univ Ctr Computat Learning Syst New York NY USA Columbia Univ New York NY 10027 USA

ISBN: (纸本)9781941643723

We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/verb phrases. Different from existing abstraction-based approaches, our method first constructs a pool of concepts and facts represented by phrases from the input documents. then new sentences are generated by selecting and merging informative phrases to maximize the salience of phrases and meanwhile satisfy the sentence construction constraints. We employ integer linear optimization for conducting phrase selection and merging simultaneously in order to achieve the global optimal solution for a summary. Experimental results on the benchmark data set TAC 2011 show that our framework outperforms the state-of-the-art models under automated pyramid evaluation metric, and achieves reasonably well results on manual linguistic quality evaluation.

关键词： Merging

来源：评论

学校读者我要写书评

暂无评论

Fake News Filtering: Semantic Approaches 7

Fake News Filtering: Semantic Approaches

引用

7th international conference on Reliability, Infocom Technologies and Optimization - Trends and Future Directions (ICRITO)

作者： Klyuev, Vitaly Univ Aizu Software Emgineering Lab Aizu Wakamatsu Fukushima Japan

ISBN: (纸本)9781538646922

In 2016, the attention to the fake news phenomenon drastically increased. Mobile devices such as cellular phones and sources of information such as social networks are instruments that enable individuals to receive news, publish posts, communicate with peers, watch videos, listen to music, etc. In today's highly mobile society, this is a current trend. the uncontrolled freedom and simplicity in publications on the Internet result in overwhelming users receiving news that are fake and hoaxes. Detecting and filtering such information is a challenging problem. this paper discusses different approaches to combat fake news. they are used to a) determine text features utilizing linguistic natural language processing methods (it is necessary to create a profile of the text document), b) detect spam bots in social networks to isolate those using machine-learning methods (it is crucial to reduce the number of analyzed documents), and c) confirm the facts in online documents by applying techniques used in search engines (it is very much important to select trusted documents). A system combining these mechanisms may demonstrate a high level of accuracy in filtering fake news.

关键词： semantic methods social media machine learning natural language processing

来源：评论

学校读者我要写书评

暂无评论

A Novel Model for Prediction of Next Word using machine learning 7

A Novel Model for Prediction of Next Word using Machine Lear...

引用

7th international conference on Intelligent Computing and Control Systems, ICICCS 2023

作者： Chilukuri, Prathima Reddy, K Naveen Kumar Divyanjali, K.N.V.S. Royal, L Javali Chandana, M Hari Krishna, D Murali Andhra Pradesh Tirupati India Sree Vidyanikethan Engineering College Tirupati India

ISBN: (纸本)9798350397253

Prediction of next word is also known as language modeling and is an application of natural language processing which helps in next word prediction. In the past, several studies employed various models to predict the outcomes, including federated text models and recurrent neural networks. In the suggested model, machine learning and TensorFlow techniques will be used to predict the five words. the text is understood by the machine learning algorithms, which then anticipate the next word to be used to finish the phrase. the proposed model helps the user to predict the next word. the model will be implemented using natural processing language algorithms and comparing the algorithms by using Wikipedia text files to train the model. © 2023 IEEE.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

learning to Map Dependency Parses to Abstract Meaning Representations 53

Learning to Map Dependency Parses to Abstract Meaning Repres...

引用

53rd Annual Meeting of the Association-for-Computational-Linguistics / 7th international Joint conference on natural language processing (ACJ-IJCNLP)

作者： Chen, Wei-Te Univ Colorado Dept Comp Sci Boulder CO 80309 USA

ISBN: (纸本)9781941643747

the Abstract Meaning Representation (AMR) is a semantic representation language used to capture the meaning of English sentences. In this work, we propose an AMR parser based on dependency parse rewrite rules. this approach transfers dependency parses into AMRs by integrating the syntactic dependencies, semantic arguments, named entity and co-reference information. A dependency parse to AMR graph aligner is also introduced as a preliminary step for designing the parser.

关键词： Syntactics

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58页 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：