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

14,303 篇 会议
98 册 图书
66 篇 期刊文献
1 篇 资讯

馆藏范围

14,468 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

9,574 篇 工学
- 8,758 篇 计算机科学与技术...
- 6,972 篇 软件工程
- 2,028 篇 信息与通信工程
- 1,454 篇 控制科学与工程
- 1,256 篇 电气工程
- 907 篇 生物工程
- 473 篇 网络空间安全
- 436 篇 电子科学与技术（可...
- 421 篇 生物医学工程（可授...
- 313 篇 化学工程与技术
- 307 篇 仪器科学与技术
- 294 篇 机械工程
- 268 篇 光学工程
- 256 篇 安全科学与工程
- 240 篇 交通运输工程
- 182 篇 动力工程及工程热...
3,191 篇 理学
- 1,265 篇 数学
- 932 篇 生物学
- 900 篇 物理学
- 503 篇 统计学（可授理学、...
- 462 篇 系统科学
- 378 篇 化学
2,915 篇 管理学
- 1,865 篇 图书情报与档案管...
- 1,281 篇 管理科学与工程(可...
- 472 篇 工商管理
613 篇 医学
- 418 篇 临床医学
- 369 篇 基础医学(可授医学...
- 353 篇 公共卫生与预防医...
470 篇 法学
- 438 篇 社会学
229 篇 教育学
- 225 篇 教育学
207 篇 文学
159 篇 经济学
98 篇 农学
11 篇 艺术学
9 篇 军事学
1 篇 哲学

主题

2,963 篇 natural language...
874 篇 natural language...
839 篇 natural language...
817 篇 semantics
577 篇 deep learning
554 篇 machine learning
533 篇 sentiment analys...
507 篇 data mining
395 篇 knowledge engine...
368 篇 large language m...
362 篇 training
355 篇 computational mo...
312 篇 feature extracti...
309 篇 speech recogniti...
304 篇 speech processin...
275 篇 signal processin...
272 篇 accuracy
241 篇 neural networks
239 篇 transformers
237 篇 knowledge based ...

机构

57 篇 institute of inf...
52 篇 school of cyber ...
49 篇 school of commun...
40 篇 chitkara univers...
40 篇 maharishi school...
35 篇 lovely professio...
34 篇 university of ch...
34 篇 school of comput...
33 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...
19 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
12 篇 li ying
11 篇 li sheng
11 篇 yang yang
11 篇 tao zhang
11 篇 arora chetan
11 篇 wang wei

语言

10,918 篇 英文
3,521 篇 其他
53 篇 中文
1 篇 土耳其文

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

共 14468 条记录，以下是311-320 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：

Attention Disentanglement for Semantic Diffusion Modeling in Text-to-Image Generation

Attention Disentanglement for Semantic Diffusion Modeling in...

引用

2025 ieee international conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Yu, Hsiang-Chun Chien, Jen-Tsung Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9798350368741

Text-to-image model has been recently improved to generate the semantically rich high-quality images by strengthening natural language processing via transformer in a stable diffusion process. However, the challenges are still remained in accurately rendering the objects, colors and compositions, and in precisely resolving the ambiguities in textual descriptions. This paper presents an attention disentanglment for semantic diffusion where the semantic consistency is enhanced for text-to-image generation. By utilizing the cross-attention maps in stable diffusion, this method is feasible to control the semantic features during generation process without the need for retraining. Additionally, a vision-language model is merged to implement this process to ensure that the generated images are closely aligned with the input prompts. This study further presents the attention disentanglement for semantic diffusion where the schemes of syntax parsing and information-theoretic learning are implemented to separate the semantic attributes and relations, thereby improving the accuracy and coherence of the generated images in the experiments. © 2025 ieee.

关键词： attention disentanglement diffusion model mutual information vision-language model

来源：评论

学校读者我要写书评

暂无评论

A BERT-Based knowledge Selection Model for Bank Regulatory Reporting in Conversational Systems 24

A BERT-Based Knowledge Selection Model for Bank Regulatory R...

引用

3rd international conference on Computer, Artificial Intelligence and Control engineering, CAICE 2024

作者： Wang, Xiaoguo Cao, Jiaqi Tongji University Shanghai China

ISBN: (纸本)9798400716942

knowledge selection is a natural language processing (NLP) task of selecting relevant knowledge spans from document text based on dialogue context in knowledge-grounded conversational systems. Based on the documents issued by the China Banking and Insurance Regulatory Commission, we build a conversational system for bank regulatory reporting through knowledge selection. In this paper, aiming at the documents' characteristics of hierarchical structure, special terms, and long text, we propose the Bank Regulatory Reporting BERT (BR-BERT) for knowledge selection in the bank regulatory reporting conversational system. BR-BERT restricts the knowledge spans to a predefined span list. Based on the vector representation of dialogue history and document text encoded by BERT, predefined span position information was introduced into the model for classification to predict the start and end positions of knowledge spans. Compared with other models mentioned in the paper, the experimental results show that BR-BERT performs better such as exact match score (EM) and token-level F1 score (F1) on the task of knowledge selection for bank regulatory reporting text, verifying the effectiveness of the method. © 2024 ACM.

关键词： natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

Sign language To Text Translator: A Semantic Approach With Ontological Framework 10

Sign Language To Text Translator: A Semantic Approach With O...

引用

10th international conference on Communication and Signal processing, ICCSP 2024

作者： Asad Ahmed, S. Sheriff, Y. Jabir Prakash, B. Naganathan, Suresh Babu Thandullu Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Kattankulathur India Adhiparasakthi Engineering College Department of Electronics and Communication Engineering Tamil Nadu Melmaruvathur India

ISBN: (纸本)9798350353068

This research paper presents a pioneering exploration into the development of a Sign language to Text Translator (SLTT) that leverages an ontological framework. The study adopts a systematic approach, encompassing the definition of a structured knowledge representation, the mapping of sign language gestures to corresponding English text, and the implementation of a real-time translation system. The incorporation of an ontological framework provides a structured foundation, augmenting the accuracy and adaptability of the translator. The project seamlessly integrates both manual input simulation and potential machine learning models to enhance sign language recognition. The primary objective is to create an effective and versatile solution for mitigating communication barriers between the deaf and hearing communities. © 2024 ieee.

关键词： knowledge representation

来源：评论

学校读者我要写书评

暂无评论

DEBT: Enhancing Entity Alignment in knowledge Graphs through Description Enrichment and Bootstrap Training

DEBT: Enhancing Entity Alignment in Knowledge Graphs through...

引用

2025 ieee international conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Xiang, Ting Zhang, Jiapeng Chen, Changjian Tang, Zhuo College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9798350368741

Entity alignment has emerged as a powerful technique for integrating knowledge graphs, facilitating the fusion of heterogeneous knowledge into a unified graph. The state-of-the-art methods combine both graph structures and side information for effective entity alignment. However, they neglect low-quality issues in data. Specifically, the emerging knowledge graphs in diverse fields amass a wealth of entities that lack not only adequate descriptions but also annotated alignments. These two limitations lead to the overfitting problem and degrade the alignment performance. To tackle these challenges, we propose DEBT, an innovative approach that systematically enhances entity alignment. It first enriches the descriptions of entities by aggregating their neighbors and attributes. Then, a bootstrap strategy is utilized to expand the training set by incorporating entity pairs with similarity scores exceeding a dynamically decreasing threshold. Experimental results demonstrate that our method achieves the state-of-the-art accuracy while reducing the number of annotated entity alignment pairs. © 2025 ieee.

关键词： bootstrap strategy description enrichment entity alignment knowledge graph

来源：评论

学校读者我要写书评

暂无评论

The Design and Implementation of APLOS: An Automated PoLicy DOcument Summarisation System 2

The Design and Implementation of APLOS: An Automated PoLicy ...

引用

2nd international conference on Foundation and Large language Models, FLLM 2024

作者： Sowe, Sulayman Kiel, Tobias Neumann, Alexander Mou, Yongli Peristeras, Vassilios Decker, Stefan RWTH Aachen University Informatik 5 Department of Computer Science Aachen52074 Germany Fraunhofer FIT Sankt Augustin53757 Germany International Hellenic University School for Science and Technology Thessaloniki57001 Greece

ISBN: (纸本)9798350354799

Many institutions write and publish policy documents to inform stakeholders or citizens about priority areas and legislations or regulations governing issues such as the environment, agriculture, food safety and business operations, to mention a few. These documents are often lengthy, have different formats, are full of jargon, may have many versions, and require domain knowledge to understand the policy issue. These characteristics make it challenging to develop a personalised tool for users to generate concise summaries based on their domain knowledge, refine the summaries without compromising the original meaning of the policy, and find related policies. To solve these problems, we leverage advances in foundation models (FMs) and Large language Models (LLMs) to develop a tool called "APLOS"for summarising and gaining insights from policy documents. The architecture, implementation, and natural language processing challenges we faced in developing the tool and the future directions we are undertaking to address the challenges are presented and discussed. © 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

Exploring the natural language Generation: Current Trends and Research Challenges

Exploring the Natural Language Generation: Current Trends an...

引用

2024 international conference on engineering and Computing, ICECT 2024

作者： Azhar, Usama Nazir, Ambreen Shifa Tameer-e-Millat University Department of Computing Islamabad Pakistan

ISBN: (纸本)9798350349719

natural language Generation (NLG) acts as a bridge between input data and human communication. NLG systems are meant to generate human-understandable output making it a useful technique mainly in report generation, automatic replies to queries like Chatbots, and other domains that involve natural language processing (NLP). NLG continues to evolve;embracing the latest trends like neural networks, large language models, personalized features, cognitive architectures, and emotional intelligence, but it still faces some challenges with its implementations and operations for cohesive integration. Therefore, this survey presents a brief introduction to some of the latest trends and challenges faced by NLG which are playing a dynamic role in shaping the evolution of NLG. © 2024 ieee.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Analysis of natural language processing Techniques and Tools for Requirements Elicitation: A Systematic Literature Review 12

Analysis of Natural Language Processing Techniques and Tools...

引用

12th international conference in Software engineering Research and Innovation, CONISOFT 2024

作者： Torres-Igartua, Maria Jose Sanchez-Garcia, Angel J. Ocharan-Hemandezss, Jorge Octavio Vazquez-Reyest, Sodel Universidad Veracruzana Facultad de Estadística e Informática Veracruz Xalapa Mexico Unidad Académica de Ingeniería Eléctrica Universidad Autónoma de Zacatecas Zacatecas Mexico

ISBN: (纸本)9798331532116

Requirements engineering (RE) encompasses ac-tivities such as requirements elicitation, analysis, specification, and validation, which are essential in software development for defining and aligning stakeholder needs and expectations. However, these processes are often laborious and prone to errors and misunderstandings, resulting in systems that fail to meet expectations and require costly revisions. This study specifically focuses on requirements elicitation, as accurate and comprehensive gathering of requirements is vital for the success of subsequent activities. The aim is to explore how natural language processing (NLP) techniques and tools can enhance requirements elicitation, emphasizing their adapt-ability to diverse linguistic contexts. A Systematic Literature Review (SLR) identified the most commonly used Artificial Intelligence (AI) techniques in NLP, such as Support Vector Machine (SVM), Random Forest (RF), and Transformer-based approaches like Bidirectional Encoder Representations from Transformers (BERT). The natural language Toolkit (NLTK) is recognized as a prominent tool in the broader NLP domain, while the ELICitation Aid (ELICA) tool stands out for its application in requirement elicitation. Despite the advantages offered by these approaches, it is crucial to acknowledge and address their limitations. Further research is recommended to enhance their effectiveness, particularly in adapting to languages other than English. © 2024 ieee.

关键词： Software design

来源：评论

学校读者我要写书评

暂无评论

Enhancing natural language processing with Deep Learning for Sentiment Analysis 9

Enhancing Natural Language Processing with Deep Learning for...

引用

9th international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Om Prakash, C. Kumar, S. Vijaya Pallavi Abbas, Jamal K. Naser, Sarmad Jaafar Haroon, Noor Hanoon School of Management Cmr University 5 Bhuvanagiri OMBR Layout Karnataka Bengaluru560043 India B S Abdur Rahman Crescent Institute of Science And Technology Chennai Tamil Nadu Vandalur India Chaudhary Ranbir Singh University Department of English Haryana Jind India AL-Nisour University College Baghdad Iraq College of Pharmacy National University of Science And Technology DhiQar Iraq Technical Engineering College Al-Ayen University Department of Computer Technical Engineering Thi-Qar Iraq

ISBN: (纸本)9798350365092

natural language processing (NLP) aids in the advancement of intelligent machines through its emphasis on etymologically grounded human-PC connections and a greater understanding of the human language. The demand and necessity to implement information-driven methodologies for automating semantic analysis have increased due to ongoing advancements in processing power and the accessibility of vast quantities of phonetic data. The application of deep learning methods has facilitated significant progress in fields including computer vision, programmed discourse recognition, and natural language processing, which has led to the pervasive adoption of information-driven techniques. This study investigates calculations for unimodal and multimodal sentiment analysis in interpersonal organisations and develops two models, one for message sentiment analysis and the other for picture-message multimodal sentiment analysis in informal communities. The two models demonstrated their electiveness by surpassing the benchmark models by 4.45% and 5.2%, respectively, when evaluated against the current models on distinct datasets. © 2024 ieee.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Towards Understanding and Analyzing Rationale in Commit Messages using a knowledge Graph Approach

Towards Understanding and Analyzing Rationale in Commit Mess...

引用

ACM/ieee international conference on Model Driven engineering languages and Systems (MODELS)

作者： Dhaouadi, Mouna Oakes, Bentley James Famelis, Michalis Univ Montreal DIRO Montreal PQ Canada Polytech Montreal GIGL Montreal PQ Canada

ISBN: (纸本)9798350324983

Extracting rationale information from commit messages allows developers to better understand a system and its past development. Here we present our ongoing work on the Kantara end-to-end rationale reconstruction pipeline to a) structure rationale information in an ontologically-based knowledge graph, b) extract and classify this information from commits, and c) produce analysis reports and visualizations for developers. We also present our work on creating a labelled dataset for our running example of the Out-of-Memory component of the Linux kernel. This dataset is used as ground truth for our evaluation of NLP classification techniques which show promising results, especially the multi-classification technique XGBoost.

关键词： rationale structuring rationale extraction natural language processing Linux ontology dataset openCAESAR

来源：评论

学校读者我要写书评

暂无评论

Frequency-Space Margin Perception for Open Set knowledge Distillation

Frequency-Space Margin Perception for Open Set Knowledge Dis...

引用

2025 ieee international conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Liu, Lijun Jing, Lihua Wang, Rui Wang, Yuan Wang, Zhishen Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)9798350368741

knowledge Distillation (KD) has attracted considerable attention as a typical model compression and knowledge transfer paradigm. However, most KD approaches are predicated on the implicit assumption: the deployed student model will exclusively encounter classes that have been seen during training, which goes against most real-world scenarios with unseen classes. To this end, we formalize the open-set KD task, where known classes are visible during training and unseen open-set classes appear when testing. We analyze the potential challenges of open-set KD from the discriminability of embedding space and the semantic separability of label space. Then we propose a Frequency-Spatial Margin Perception (FSMP) framework composed of a frequency-spatial feature distillation paradigm and a semantic margin-based calibration strategy. Experiments on multiple benchmarks demonstrate that FSMP consistently improves both the closed-set and open-set performance of existing KD methods across homogeneous and heterogeneous frameworks. © 2025 ieee.

关键词： knowledge distillation Open-set recognition

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 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：