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

14,082 篇 会议
98 册 图书
64 篇 期刊文献
1 篇 资讯

馆藏范围

14,245 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

9,383 篇 工学
- 8,572 篇 计算机科学与技术...
- 6,863 篇 软件工程
- 1,927 篇 信息与通信工程
- 1,310 篇 控制科学与工程
- 1,209 篇 电气工程
- 906 篇 生物工程
- 418 篇 生物医学工程（可授...
- 417 篇 电子科学与技术（可...
- 413 篇 网络空间安全
- 307 篇 化学工程与技术
- 288 篇 仪器科学与技术
- 281 篇 机械工程
- 266 篇 光学工程
- 211 篇 安全科学与工程
- 196 篇 交通运输工程
3,131 篇 理学
- 1,227 篇 数学
- 932 篇 生物学
- 887 篇 物理学
- 486 篇 统计学（可授理学、...
- 460 篇 系统科学
- 355 篇 化学
2,812 篇 管理学
- 1,831 篇 图书情报与档案管...
- 1,191 篇 管理科学与工程(可...
- 463 篇 工商管理
567 篇 医学
- 408 篇 临床医学
- 365 篇 基础医学(可授医学...
- 312 篇 公共卫生与预防医...
- 163 篇 药学(可授医学、理...
450 篇 法学
- 418 篇 社会学
217 篇 教育学
- 213 篇 教育学
194 篇 文学
155 篇 经济学
98 篇 农学
11 篇 艺术学
9 篇 军事学
1 篇 哲学

主题

2,893 篇 natural language...
873 篇 natural language...
822 篇 natural language...
817 篇 semantics
552 篇 deep learning
537 篇 machine learning
514 篇 sentiment analys...
508 篇 data mining
390 篇 knowledge engine...
360 篇 computational mo...
358 篇 training
356 篇 large language m...
315 篇 speech recogniti...
310 篇 feature extracti...
302 篇 speech processin...
272 篇 signal processin...
261 篇 accuracy
239 篇 neural networks
235 篇 knowledge based ...
234 篇 transformers

机构

55 篇 institute of inf...
50 篇 school of cyber ...
50 篇 school of commun...
40 篇 maharishi school...
38 篇 chitkara univers...
35 篇 lovely professio...
34 篇 university of ch...
34 篇 school of comput...
32 篇 school of comput...
31 篇 xi'an university...
30 篇 faculty of engin...
27 篇 department of el...
23 篇 school of inform...
22 篇 school of comput...
22 篇 department of co...
20 篇 centre of interd...
20 篇 beijing universi...
18 篇 pune
17 篇 zhejiang univers...
17 篇 college of compu...

作者

38 篇 ren fuji
27 篇 wan wanggen
17 篇 liu yang
16 篇 yixin zhong
14 篇 wu jin
14 篇 lei li
14 篇 shingo kuroiwa
13 篇 zhang tao
13 篇 wang lei
13 篇 sabetzadeh mehrd...
13 篇 zheng dequan
13 篇 liu jie
12 篇 tiejun zhao
12 篇 f. ren
11 篇 li sheng
11 篇 yang yang
11 篇 tao zhang
11 篇 li ying
11 篇 arora chetan
11 篇 wang wei

语言

11,805 篇 英文
2,409 篇 其他
49 篇 中文
3 篇 土耳其文

检索条件"任意字段=IEEE International Conference on Natural Language Processing and Knowledge Engineering"

共 14245 条记录，以下是191-200 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：

Comprehensive Analysis of Tibetan Text Summarie 7

Comprehensive Analysis of Tibetan Text Summarie

引用

7th international conference on Machine Learning and natural language processing, MLNLP 2024

作者： Norbu, Rinchen Tsoro Qunnuo Danzeng, Pubu Kyi, Lhamo Tibet University College of Information Science and Technology Lhasa850000 China National Local Joint Engineering Research Center for Tibetan Information Technology China

ISBN: (纸本)9798350354973

Text summarization has been rapidly developed as an important task in the field of natural language text generation. Among them, due to the practical needs of Tibetan text summarization, some people have also begun to engage in related research, but it is only in the beginning stage. The literature research method and analysis method are used to sort out the research and practical application of Tibetan text summarization in recent years and analyze the current status and problems of the current research on Tibetan text summarization for researchers' reference. © 2024 ieee.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Aligning Documentation and Q&A Forum through Constrained Decoding with Weak Supervision 39

Aligning Documentation and Q&A Forum through Constrained Dec...

引用

39th ieee international conference on Software Maintenance and Evolution (ICSME)

作者： Pudari, Rohith Zhou, Shiyuan Ahmed, Iftekhar Dai, Zhuyun Zhou, Shurui Univ Toronto Toronto ON Canada Univ Calif Irvine Irvine CA 92717 USA Google Mountain View CA 94043 USA

ISBN: (纸本)9798350327830

Stack Overflow (SO) is a widely used question-andanswer (Q&A) forum dedicated to software development. It plays a supplementary role to official documentation (DOC for short) by offering practical examples and resolving uncertainties. However, the process of simultaneously consulting both the documentation and SO posts can be challenging and time-consuming due to their disconnected nature. In this study, we propose DOSA, a novel approach to automatically align SO and DOC, which inject domain-specific knowledge about the DOC structure into large language models (LLMs) through weak supervision and constrained decoding, thereby enhancing knowledge retrieval and streamlining task completion during the software development procedure. Our preliminary experiments find that DOSA outperforms various widely-used baselines, showing the promise of using generative retrieval models to perform low-resource software engineering tasks.

关键词： Stack Overflow natural language processing Constrained Decoding Weak Supervision

来源：评论

学校读者我要写书评

暂无评论

knowledge Navigator - Guiding You Through Your Learning Journey Using AI

Knowledge Navigator - Guiding You Through Your Learning Jour...

引用

2024 international conference on Computational Intelligence and Computing Applications, ICCICA 2024

作者： Yadav, Anup Lal Talwandi, Navjot Singh Kuhar, Sunny Kumar, Munish Chandigarh University Department Of Computer Science & Engineering Mohali India Piet Department Of Computer Science & Engineering Haryana India

ISBN: (纸本)9798350306446

It might be intimidating to navigate the wide array of learning resources in this era of information overload. This article presents knowledge Navigator, an artificial intelligence (AI) system that adapts the learning process to the needs, preferences, and learning styles of each individual. knowledge Navigator evaluates past knowledge, determines learning preferences, and comprehends user intent by combining sophisticated natural language processing (NLP) and machine learning algorithms. Users are guaranteed to receive the most interesting and pertinent learning materials, according to their tastes and goals, thanks to this customized approach. The potential advantages of knowledge Navigator, such as higher learning efficiency, better information retention, and increased student motivation, are discussed in the paper's conclusion. It also looks at potential research avenues in the future, such as gamification and integration with practical uses. © 2024 ieee.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

ChatGPT the Omniscient? A Guide to Effective Prompting 7

ChatGPT the Omniscient? A Guide to Effective Prompting

引用

7th ieee international conference and Workshop Obuda on Electrical and Power engineering, CANDO-EPE 2024

作者： Kovari, Attila Institute of Digital Technology Eszterházy Károly Catholic University Faculty of Computer Science Eger Hungary Institute of Electronics and Communication Systems Obuda University Kandó Kálmán Faculty of Electrical Engineering Budapest Hungary Institute of Computer Science University of Dunaujvaros Dunaujvaros Hungary

ISBN: (纸本)9798331531119

The invention of artificial intelligence and natural language processing has revolutionised human-machine interaction, and OpenAI's ChatGPT models are at the forefront of this. GPT-3 and GPT-4 models generate human-like text, answer questions and perform all kinds of language-related tasks. ChatGPT relies heavily on the quality of the requests it receives. This paper addresses the issue of efficient prompting in order to maximise its potential. Different prompting techniques are described in the paper: prompt template design, continuous prompts, few-shot learning, chain of thought prompting and metadata expansion. The conclusions show that learning how to write good prompts is crucial for realizing the full potential of ChatGPT in various natural language processing tasks. © 2024 ieee.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

The Implementation of natural language processing on Chatbot as Academic Information System: A Case Study of IC2IE 2024 7

The Implementation of Natural Language Processing on Chatbot...

引用

7th international conference of Computer and Informatics engineering, IC2IE 2024

作者： Purba, Christian Nataniel Yosua Parulian, Pratama Varian Andika Iswara, Ratna Widya Suhandana, Ariawan Andi Sari, Risna Politeknik Negeri Jakarta Department of Computer and Informatics Engineering Depok Indonesia

ISBN: (纸本)9798331505530

The implementation of natural language processing (NLP) in chatbots has significantly enhanced the efficiency and user experience of academic information systems. This paper presents a case study of the international conference on Computing, Communication, and Information engineering (IC2IE) 2024, exploring how NLP-driven chatbot can serve as a robust academic information system. By employing advanced NLP techniques, the chatbot effectively understands and processes user inquiries, providing accurate and timely information about the conference schedules, speakers, submission guidelines, etc. Accuracy testing demonstrated an overall performance of 84.533%, with perfect accuracy in the 0.75-1.0 similarity range and 96.15% accuracy in the 0.5-0.74 range. The findings suggest that integrating NLP in academic information systems can streamline operations and enhance communication within academic events. © 2024 ieee.

关键词： Information use

来源：评论

学校读者我要写书评

暂无评论

Applying natural language processing in Healthcare Using Data Science 11

Applying Natural Language Processing in Healthcare Using Dat...

引用

11th international conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Sett, Smriti Singh, Ajay Vikram Amity Institute of Information Technology Amity University Noida India

ISBN: (纸本)9798350350357

This research paper explores how advancements in Artificial Intelligence, particularly natural language processing (NLP), are impacting healthcare. NLP, which can analyse and understand human language, is being integrated into clinical research. The importance of integrating natural language processing (NLP) methods into clinical informatics research has been increasingly acknowledged in recent years, leading to significant advancements. NLP systems are designed to process medical documents, sentences, and individual words to extract valuable information. Clinical text classification with filtering tools, techniques and domain knowledge improves accuracy on imbalanced and noisy data. This review analyses existing studies on NLP in healthcare, exploring different approaches and technical aspects. The paper also highlights the use of NLP in various healthcare applications and identifies areas for future research to further develop NLP-driven smart healthcare. © 2024 ieee.

关键词： natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

An Interactive Approach for Query-based Multi-Document Scientific Text Summarization 14

An Interactive Approach for Query-based Multi-Document Scien...

引用

14th international conference on Computer and knowledge engineering, ICCKE 2024

作者： Nejati, Mohammadsadra Ahmadi, Abbas Mohebi, Azadeh Dept. of Industrial Engineering Amirkabir University of Technology Tehran Iran Tehran Iran

ISBN: (纸本)9798331511272

The overwhelming volume of scientific documents necessitates automatic summarization to assist researchers in efficiently finding relevant data, making informed decisions, and retrieving appropriate answers to their queries. Query-based automatic summarization is to provide a textual summary related to user’s initial query. Most of the previous approaches in query-based summarization, only consider the user’s initial query to model user’s information need, and rarely rely on additional interaction between user and system. This study proposes an interactive multi-document summarization system designed to assist researchers in processing scientific documents. The interactive approach is necessary to refine document selection and improve summary relevance through user feedback. The system utilizes advanced natural language processing techniques to retrieve and summarize relevant content, including query-based summarization to tailor summaries to specific user queries. By incorporating user-generated questions, the system enhances the coherence and pertinence of summaries. The system is tested and evaluated for Persian language. Despite the lack of labeled datasets in the Persian, the proposed approach demonstrates effective summarization through unsupervised methods. User evaluations confirm the system’s potential to significantly improve information retrieval and comprehension in scientific research. © 2024 ieee.

关键词： Structured Query language

来源：评论

学校读者我要写书评

暂无评论

TEXTROLSPEECH: A TEXT STYLE CONTROL SPEECH CORPUS WITH CODEC language TEXT-TO-SPEECH MODELS 49

TEXTROLSPEECH: A TEXT STYLE CONTROL SPEECH CORPUS WITH CODEC...

引用

49th ieee international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ji, Shengpeng Zuo, Jialong Fang, Minghui Jiang, Ziyue Chen, Feiyang Duan, Xinyu Huai, Baoxing Zhao, Zhou Zhejiang Univ Huawei Cloud Hangzhou Peoples R China

ISBN: (纸本)9798350344868;9798350344851

Recently, there has been a growing interest in the field of controllable Text-to-Speech (TTS). While previous studies have relied on users providing specific style factor values based on acoustic knowledge or selecting reference speeches that meet certain requirements, generating speech solely from natural text prompts has emerged as a new challenge for researchers. This challenge arises due to the scarcity of high-quality speech datasets with natural text style prompt and the absence of advanced text-controllable TTS models. In light of this, 1) we propose TextrolSpeech, which is the first large-scale speech emotion dataset annotated with rich text attributes. The dataset comprises 236,203 pairs of style prompt in natural text descriptions with five style factors and corresponding speech samples. Through iterative experimentation, we introduce a multi-stage prompt programming approach that effectively utilizes the GPT model for generating natural style descriptions in large volumes. 2) Furthermore, to address the need for generating audio with greater style diversity, we propose an efficient architecture called Salle. This architecture treats text controllable TTS as a language model task, utilizing audio codec codes as an intermediate representation to replace the conventional mel-spectrogram. Finally, we successfully demonstrate the ability of the proposed model by showing a comparable performance in the controllable TTS task. Audio samples are available on the demo page https://***/.

关键词： Dataset Text-to-Speech Style Control

来源：评论

学校读者我要写书评

暂无评论

natural language processing for Sentiment Analysis in Marketing 2

Natural Language Processing for Sentiment Analysis in Market...

引用

2nd international conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Murthy, Anantha Deshpande, Pallavi Sagar Gakhreja, Shweta Satish Garwal, Yogita Jain, Neetu Katare, Rajeswari Department of Mca India College of Engineering Pune India Rajasthan India Institute of Management and Research New Delhi India Osmania University India

ISBN: (纸本)9798350364699

The use of natural language processing (NLP) has become an indispensable instrument for conducting sentiment analysis in the field of marketing. This technology enables organizations to decipher and analyze the thoughts of customers based on huge amounts of unstructured data. In this study, we investigate the use of natural language processing (NLP) techniques to analyze the feelings conveyed in customer reviews, social media posts, and other forms of digital communication. Through the utilization of advanced natural language processing techniques, such as sentiment brackets, emotion detection, and opinion mining, businesses can acquire a practical understanding of the preferences and stations of their customers. The purpose of this study is to examine several natural language processing (NLP) algorithms and models, including machine literacy-based approaches and deep literacy methods, and to evaluate how effective they are at comprehending delicate feelings. Additionally, it investigates case studies that demonstrate how natural language processing (NLP)-driven sentiment analysis has been successfully implemented to improve marketing strategies, enhance client interaction, and provide valuable insights for product development. Some challenges are similar to these, such as analyzing the surroundings, discovering affronts, and doing multilingual analysis. The findings highlight the revolutionary potential of natural language processing (NLP) in the process of establishing valuable sentiment perceptivity for insights generated by data in marketing. © 2024 ieee.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Utilizing Process Models in the Requirements engineering Process Through Model2Text Transformation 32

Utilizing Process Models in the Requirements Engineering Pro...

引用

32nd ieee international Requirements engineering conference (RE)

作者： Klievtsova, Nataliia Mangler, Juergen Kampik, Timotheus Rinderle, Stefanie Tech Univ Munich Tum Sch Computat Informat & Technol Garching Germany SAP Signavio Berlin Germany

ISBN: (纸本)9798350395129;9798350395112

With the advent of large language models (LLMs), requirements engineers have gained a powerful natural language processing tool to analyze, query, and validate a wide variety of textual artifacts, thus potentially supporting the whole requirements engineering process from requirements elicitation to management. However, the input for the requirements engineering process often encompasses a variety of potential information sources in various formats, especially graphical models such as process models. Hence, this work aims to contribute to the state of the art by assessing the feasibility of utilizing graphical process models and their textual representations in the requirements engineering process. In particular, we focus on the extraction of textual process descriptions from process models as i) input for the requirements engineering process and ii) documentation as the result of process-oriented requirements engineering. To this end, we explore, quantify, and compare traditional deterministic and LLM-based extraction methods where the latter includes GPT3, GPT3.5, GPT4, and LLAMA. The evaluation assesses output quality and information loss based on one data set. The results indicate that LLMs produce human-like process descriptions based on the predefined patterns, but apparently lack true comprehension of the process models.

关键词： AI4RE Process Models Process Descriptions Large language Models

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500页 << < 16 17 18 19 20 21 22 23 24 25 > >>

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：