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

14,558 篇 会议
663 篇 期刊文献
101 册 图书
40 篇 学位论文
1 篇 科技报告

馆藏范围

15,362 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

11,025 篇 工学
- 10,359 篇 计算机科学与技术...
- 5,436 篇 软件工程
- 1,474 篇 信息与通信工程
- 963 篇 电气工程
- 925 篇 控制科学与工程
- 446 篇 生物工程
- 223 篇 网络空间安全
- 220 篇 化学工程与技术
- 187 篇 机械工程
- 175 篇 生物医学工程（可授...
- 144 篇 电子科学与技术（可...
- 102 篇 仪器科学与技术
- 99 篇 安全科学与工程
2,494 篇 理学
- 1,163 篇 数学
- 655 篇 物理学
- 520 篇 生物学
- 395 篇 统计学（可授理学、...
- 241 篇 系统科学
- 235 篇 化学
2,427 篇 管理学
- 1,755 篇 图书情报与档案管...
- 760 篇 管理科学与工程(可...
- 241 篇 工商管理
- 106 篇 公共管理
1,761 篇 文学
- 1,709 篇 外国语言文学
- 184 篇 中国语言文学
514 篇 医学
- 303 篇 临床医学
- 284 篇 基础医学(可授医学...
- 113 篇 公共卫生与预防医...
278 篇 法学
- 249 篇 社会学
238 篇 教育学
- 225 篇 教育学
100 篇 农学
98 篇 经济学
9 篇 艺术学
7 篇 哲学
4 篇 军事学

主题

3,557 篇 natural language...
1,786 篇 natural language...
953 篇 computational li...
740 篇 semantics
682 篇 machine learning
613 篇 deep learning
520 篇 natural language...
352 篇 computational mo...
343 篇 accuracy
339 篇 training
335 篇 large language m...
335 篇 sentiment analys...
325 篇 feature extracti...
312 篇 data mining
290 篇 speech processin...
260 篇 speech recogniti...
256 篇 transformers
236 篇 neural networks
218 篇 iterative method...
212 篇 support vector m...

机构

85 篇 carnegie mellon ...
52 篇 university of ch...
46 篇 tsinghua univers...
45 篇 carnegie mellon ...
43 篇 zhejiang univers...
43 篇 national univers...
38 篇 nanyang technolo...
36 篇 university of sc...
36 篇 university of wa...
35 篇 univ chinese aca...
34 篇 carnegie mellon ...
33 篇 gaoling school o...
33 篇 stanford univers...
32 篇 school of artifi...
32 篇 alibaba grp peop...
29 篇 tsinghua univ de...
28 篇 harbin institute...
26 篇 microsoft resear...
26 篇 language technol...
26 篇 peking universit...

作者

55 篇 zhou guodong
50 篇 neubig graham
46 篇 liu yang
39 篇 sun maosong
36 篇 zhang min
34 篇 liu qun
33 篇 smith noah a.
28 篇 schütze hinrich
27 篇 liu zhiyuan
26 篇 wen ji-rong
26 篇 lapata mirella
24 篇 chang kai-wei
23 篇 zhou jie
23 篇 yang diyi
23 篇 zhao hai
23 篇 zhao wayne xin
21 篇 chua tat-seng
20 篇 dredze mark
18 篇 biemann chris
18 篇 fung pascale

语言

14,282 篇 英文
966 篇 其他
113 篇 中文
18 篇 法文
14 篇 土耳其文
2 篇 德文
2 篇 西班牙文
2 篇 俄文

检索条件"任意字段=Conference on empirical methods in natural language processing"

共 15363 条记录，以下是4811-4820 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：

Assessing Affective Engagement with Narratives of Invisible Disability 11

Assessing Affective Engagement with Narratives of Invisible ...

引用

11th International conference on Affective Computing and Intelligent Interaction (ACIIW)

作者： Kessler, Daniel T. Kim, David Y. J. Ahn, Grace S. Elhaouij, Neska Picard, Rosalind MIT Ctr Construct Commun Cambridge MA 02139 USA MIT Elect Engn & Comp Sci Cambridge MA USA MIT Syst Design & Management Cambridge MA USA MIT Affect Comp Grp Cambridge MA USA

ISBN: (纸本)9798350327434

Narratives about invisible disabilities are poorly represented in public discourse and often go undisclosed [1], leading to false assumptions, discrimination, and stigma [2] against those who experience these conditions. To address these issues, recent studies have suggested that disclosure of firstperson narratives of invisible disabilities should be increased [3]. To understand the mechanisms affecting recipients of such narratives, the present study evaluates how social media users (N = 124) engage affectively with this content in a digitally mediated narrative-form intervention designed to reduce harmful assumptions against persons who experience invisible disabilities. Results of this study indicate that such an intervention may prove effective at reducing harmful assumptions on the basis of visual cues, and in line with past research, finds that affect may play an important role in assumption-making processes [4]. Findings from this study may be used to inform novel digital interventions capable of counteracting harmful assumptions that drive prejudicial behaviors against a wide range of populations and communities.

关键词： Affect social media disability invisible disability hidden disability natural language processing survey methods

来源：评论

学校读者我要写书评

暂无评论

Personalized Healthcare Chatbot: Dataset and Prototype System 4th

Personalized Healthcare Chatbot: Dataset and Prototype Syst...

引用

4th International conference on Computational Intelligence, Communications and Business Analytics, CICBA 2022

作者： Mishra, Prateek Dadure, Pankaj Pranav, K.V.N. SriHarsha, Medisetti Upadhyay, Devi Prasad Biswas, Nirmita Pakray, Partha National Institute of Technology Silchar Assam India

ISBN: (纸本)9783031107658

Intelligent chatbot systems are popular applications in the fields of robotic and natural language processing. Nowadays, the strain on medical advisors encourages the use of healthcare chatbots to provide meditations and suggestions. In this paper, we have presented a dataset and a healthcare chatbot developed on the RASA framework that uses the NLP methods for disease detection and provides medical advice. The designed dataset has been verified and refined with the help of medical experts. The proficiency of the designed healthcare chatbot has been tested on the collected data using RASA test methods and validation. The model scored an F1-score of 77.3% and accuracy of 78.7%. Moreover, human evaluation achieves an accuracy of 56.50%. The dataset is publicly available at https://***/Medic-Bot-India/rasaModel. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

BE3R: BERT based Early-Exit using Expert Routing 22

BE3R: BERT based Early-Exit using Expert Routing

引用

28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (KKD)

作者： Mangrulkar, Sourab Ankith, M. S. Sembium, Vivek Amazon Bengaluru Karnataka India

ISBN: (纸本)9781450393850

Pre-trained language models like BERT have reported state-of-the-art performance on several natural language processing (NLP) tasks, but high computational demands hinder its widespread adoption for large scale NLP tasks. In this work, we propose a novel routing based early exit model called BE3R (BERT based Early-Exit using Expert Routing), where we learn to dynamically exit in the earlier layers without needing to traverse through the entire model. Unlike the exiting early-exit methods, our approach can be extended to a batch inference setting. We consider the specific application of search relevance filtering in Amazon India marketplace services (a large e-commerce website). Our experimental results show that BE3R improves the batch inference throughput by 46.5% over the BERT-Base model and 35.89% over the DistilBERT-Base model on large dataset with 50 Million samples without any trade-off on the performance metric. We conduct thorough experimentation using various architectural choices, loss functions and perform qualitative analysis. We perform experiments on public GLUE Benchmark [28] and demonstrate comparable performance to corresponding baseline models with 23% average throughput improvement across tasks in batch inference setting.

关键词： Deep Learning natural language processing Transformers Attention Models Relevance Classification Product Search E-Commerce

来源：评论

学校读者我要写书评

暂无评论

Lawsuits Document Images processing Classification 21st

Lawsuits Document Images Processing Classification

引用

21st EPIA conference on Artificial Intelligence (EPIA)

作者： Freire, Daniela L. de Leon Ferreira de Carvalho, Andre Carlos Ponce Feltran, Leonardo Carneiro Nagamatsu, Lara Ayumi Ramos da Silva, Kelly Cristina Firmino, Claudemir Ferreira, Joao Eduardo Takecian, Pedro Losco Carlotti, Danilo Cavalcanti Lima, Francisco Antonio Portela, Roberto Mendes Univ Sao Paulo Sao Paulo Brazil TJSP Justice Court Sao Paulo State Sao Paulo Brazil

ISBN: (纸本)9783031164743;9783031164736

natural language processing techniques usually fail to classify low quality lawsuit document images produced by a flatbed scanner or fax machine or even captured by mobile devices, such as smartphones or tablets. As the courts of justice have many lawsuits, the manual detection of classification errors is unfeasible, favouring fraud, such as using the same payment receipt for more than one fee. An alternative to classifying low-quality document images is visual-based methods, which extract features from the images. This article proposes classification models for lawsuit document image processing using transfer learning to train Convolutional Neural Networks most quickly and obtain good results even in smaller databases. We validated our proposal using a TJSP dataset composed of 2,136 unrecognized document images by natural language processing techniques and reached an accuracy above 80% in the proposed models.

关键词： Document image processing Image classification Deep learning techniques Convolutional neural networks models Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Financial Accounting Generation Technology Based on Intelligent Information processing

Financial Accounting Generation Technology Based on Intellig...

引用

Data Science and Information System (ICDSIS), IEEE International conference on

作者： Xin Zhang College of Finance and Economics Liaoning Vocational University of Technology Jinzhou Liaoning China

ISBN: (数字)9798350381665

ISBN: (纸本)9798350381672

abstract–Financial accounting is an indispensable part of enterprise management. The traditional financial accounting process has problems such as being cumbersome, time-consuming and error-prone. The financial accounting generation technology based on intelligent processing proposed in this article can well solve these problems. The article develops a financial accounting generation technology based on artificial intelligence and natural language processing methods, combined with machine learning algorithms and big data analysis technology. The technology first uses natural language processing technology to extract key information from structured and unstructured financial data, then applies machine learning algorithms for data analysis and pattern recognition, and finally automatically generates financial statements and analysis results. The experimental results show that the performance of this technology in the efficiency test is $\mathbf{9 0 \%}-98 \%$. This study verifies the effectiveness and advantages of financial accounting generation technology based on intelligent information processing.

关键词： Industries Machine learning algorithms Information processing Data science natural language processing Vectors Data models

来源：评论

学校读者我要写书评

暂无评论

Multi-hop Self-augmented Graph Contrastive Learning for Node Classification

Multi-hop Self-augmented Graph Contrastive Learning for Node...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Yutong Wang Xiaofeng Meng Minhao Zou Siyang Leng Institute of AI and Robotics Academy for Engineering and Technology Fudan University Shanghai China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Current Graph Contrastive Learning (GCL) methods primarily focus on adapting data augmentation techniques from Computer Vision (CV) or natural language processing (NLP) domains. These techniques typically involve modifying input data via node sampling, edge perturbation, or graph structure perturbation. Alternatively, they may adjust the contrastive loss function by increasing or decreasing positive and negative samples based on graph properties. However, few GCL methods have explored designing and discussing the structure of Graph Neural Networks (GNNs) within GCL, despite the significant impact different GNN structures can have on self-supervised GCL performance. Motivated by this gap in research, our paper differs from the approach of most previous methods, designing a Multi-hop Self-augmented GCL method (MSGCL) based on the inherent structural characteristics of GNNs. This method leverages the intrinsic properties of the GNN model structure, utilizing multi-hop information for self-augmentation to generate enhanced views. The approach is simple yet effective, preserving the original graph structure information without resorting to complex and potentially unstable graph structure augmentation methods. We validate this method across five datasets under different labeling conditions. The experimental results indicate that our method surpasses the other advanced methods, even when only a limited number of labels are available. This suggests potential widespread applications in the field of graph signal processing.

关键词： Computer vision Filters Perturbation methods Contrastive learning Computer architecture Data augmentation Graph neural networks natural language processing Labeling Speech processing

来源：评论

学校读者我要写书评

暂无评论

Multiple Person Tracking Based on Gait Identification Using Kinect and OpenPose 1

引用

9th International conference on Mobile, Secure, and Programmable Networking, MSPN 2023

作者： Toma, Ryotaro Yaguchi, Terumi Kikuchi, Hiroaki School of Interdisciplinary Mathematical Sciences Meiji University 4-21-1 Nakano Tokyo164-8525 Japan

ISBN: (数字)9783031524264

ISBN: (纸本)9783031524257

A gait provides the characteristics of a person’s walking style and hence is classified as personal identifiable information. There have been several studies for personal identification using gait, including works using hardware such as depth sensors and studies using silhouette image sequences of gait. However, these methods were designed specialized for tracking a single walking person and the accuracy reduction when multiple people are simultaneously reflected in several angles of view is not clear yet. In addition, dependencies on hardware-based methods is not clarified yet. In this study, we focus on Kinect and OpenPose, the representative gait identification techniques with a function to detect multiple people simultaneously in real time. We investigate how many people can be identified for these devices and with the accuracy for tracking. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via language 12th

CAMG: Context-Aware Moment Graph Network for Multimodal Tem...

引用

12th National CCF conference on natural language processing and Chinese Computing, NLPCC 2023

作者： Hu, Yuelin Xu, Yuanwu Zhang, Yuejie Feng, Rui Zhang, Tao Lu, Xuequan Gao, Shang School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai Collaborative Innovation Center of Intelligent Visual Computing Fudan University Shanghai200433 China School of Information Management and Engineering Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and Economics Shanghai200433 China School of Information Technology Deakin University Waurn PondsVIC3216 Australia

ISBN: (纸本)9783031446924

Temporal Activity Localization via language (TALL) is a challenging task for language based video understanding, especially when a video contains multiple moments of interest and the language query has words describing complex context dependencies between the moments. Latest studies have proposed various ways to exploit the temporal context of adjacent moments, but two apparent limitations remained. First, only limited context information was encoded based on RNNs or 2-D convolutions, which highly depended on the pre-sorting of proposals and lacked flexibility. Second, semantically correlated content in different moments was ignored, i.e., semantic context. To address these limitations, we propose a novel GCN-based framework, i.e., Context-Aware Moment Graph (CAMG) network, to jointly model the temporal context and semantic context. Also, we design a multi-step fusion scheme to aggregate object, motion and textual features. A Query-Gated Integration Module is further designed to select queried objects and filter out noisy ones. Our model achieves superior performance to state-of-the-art methods on two widely-used benchmark datasets. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

PS-SQL: Phrase-based Schema-Linking with Pre-trained language Models for Text-to-SQL Parsing

PS-SQL: Phrase-based Schema-Linking with Pre-trained Languag...

引用

natural language processing (ICNLP), International conference on

作者： Zhibo Lan Shuangyin Li School of Computer Science South China Normal University Guangzhou China

ISBN: (数字)9798350349115

ISBN: (纸本)9798350349122

In the Text-to-SQL task, a significant challenge is enabling parsers to generalize effectively across diverse domains. Key to solving is schema-linking, which involves mapping words to the pertinent columns or tables in the databases. Existing methods base on pre-trained language models (PLMs), which rely on token masking, have limitations in capturing the variety of schemas. Unlike single token, phrases offer richer semantics, and superior discrimination in determining whether one word corresponds to tables or columns. In this paper, we present an innovative approach named Phrase-based Schema-Linking for Text-to-SQL (PS-SQL). By incorporating extracted phrases from the question, we enhance PLMs’ ability to learn the mapping between tokens and schemas, leading to more robust schema-linking. We also introduce a mechanism to refine extracted phrases, reducing noise. During practical evaluations on several real-world datasets, PS-SQL consistently delivers enhanced schema-linking precision, resulting in higher-quality SQL query generation.

关键词： Structured Query language Databases Semantics Noise natural language processing

来源：评论

学校读者我要写书评

暂无评论

Sequence tagging or sequence generation for natural language Understanding? 29

Sequence tagging or sequence generation for Natural Language...

引用

29e conference sur le Traitement Automatique des Langues Naturelles, TALN 2022 - 29th conference on natural language processing, TALN 2022

作者： Abrougui, Rim Damnati, Géraldine Heinecke, Johannes Béchet, Frédéric Orange Innovation Lannion22307 France Aix-Marseille Université Marseille13288 France

natural language Understanding (NLU) in an interaction context is often reduced to Intent detection and Slot filling on mono-domain corpora annotated with single Intent utterances. In order to go beyond this paradigm, we seek to approach more complex ontologies towards structured semantic representations beyond the simple Intent/Slot filling model. For this purpose, we are interested in the MultiWOZ dataset, commonly used for Dialog State Tracking. We study different strategies to project these complex semantic annotations for NLU, by comparing several sequence-tagging approaches, then by proposing a new formalism inspired by recent graph generation methods for AMR semantic modeling. Finally, we discuss the potential of generative approaches. © 2022 Traitement Automatique des Langues Naturelles, TALN 2022 - Actes de la 29e conference sur le Traitement Automatique des Langues Naturelles: conference Principale. All rights reserved.

关键词： Semantics

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 << < 478 479 480 481 482 483 484 485 486 487 > >>

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：