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

14,463 篇 会议
654 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

15,258 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

10,944 篇 工学
- 10,283 篇 计算机科学与技术...
- 5,408 篇 软件工程
- 1,463 篇 信息与通信工程
- 954 篇 电气工程
- 880 篇 控制科学与工程
- 446 篇 生物工程
- 221 篇 网络空间安全
- 220 篇 化学工程与技术
- 186 篇 机械工程
- 174 篇 生物医学工程（可授...
- 142 篇 电子科学与技术（可...
- 101 篇 仪器科学与技术
- 99 篇 安全科学与工程
2,473 篇 理学
- 1,150 篇 数学
- 649 篇 物理学
- 518 篇 生物学
- 391 篇 统计学（可授理学、...
- 241 篇 系统科学
- 232 篇 化学
2,416 篇 管理学
- 1,748 篇 图书情报与档案管...
- 757 篇 管理科学与工程(可...
- 239 篇 工商管理
- 104 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
510 篇 医学
- 299 篇 临床医学
- 283 篇 基础医学(可授医学...
- 111 篇 公共卫生与预防医...
276 篇 法学
- 248 篇 社会学
237 篇 教育学
- 224 篇 教育学
100 篇 农学
96 篇 经济学
9 篇 艺术学
7 篇 哲学
4 篇 军事学

主题

3,535 篇 natural language...
1,768 篇 natural language...
952 篇 computational li...
740 篇 semantics
681 篇 machine learning
609 篇 deep learning
520 篇 natural language...
347 篇 computational mo...
338 篇 training
333 篇 accuracy
331 篇 sentiment analys...
329 篇 large language m...
321 篇 feature extracti...
311 篇 data mining
290 篇 speech processin...
260 篇 speech recogniti...
252 篇 transformers
235 篇 neural networks
217 篇 iterative method...
212 篇 support vector m...

机构

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

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
27 篇 lapata mirella
26 篇 wen ji-rong
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

14,662 篇 英文
482 篇 其他
106 篇 中文
18 篇 法文
15 篇 土耳其文
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 15259 条记录，以下是4691-4700 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：

Redefining Bangla Text processing with a New Stemming Methodology

Redefining Bangla Text Processing with a New Stemming Method...

引用

International conference on Electrical, Computer and Communication Engineering (ECCE)

作者： Md Istiak Tanvir Asma Akter Tanvirul Islam Md Zahid Hasan Computer Science and Engineering Daffodil International University Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Stemming is a vital preprocessing step in natural language processing (NLP) that reduces words to their root forms, enabling efficient text analysis. For Bangla, a morphologically rich language, stemming is particularly challenging due to complex noun and verb inflections. Existing methods often fail to handle compound words, irregular forms and over-or under-stemming issues effectively. This paper introduces a hybrid Bangla stemming technique combining numerical mapping, Part-of-Speech (POS) tagging, rule-based methods and the Levenshtein Distance algorithm. Leveraging an 130,000-word dictionary and a multi-layer fallback mechanism, the proposed system improves accuracy and flexibility. Experimental results on 1,000 unique words show 84.6% accuracy and an 82% F1-score, outperforming other Bangla stemmers. The approach demonstrates significant potential for enhancing NLP tasks like text classification and information retrieval. Future research will address limitations such as named entity processing and dictionary expansion, aiming for even greater adaptability and efficiency.

关键词： Sentiment analysis Dictionaries Accuracy Text categorization Morphology Tagging Reliability engineering natural language processing Compounds Text processing

来源：评论

学校读者我要写书评

暂无评论

Local Explanations for Large language Models: a Brief Review of methods

Local Explanations for Large Language Models: a Brief Review...

引用

International conference on Soft Computing and Measurements (SCM)

作者： Egor N. Volkov Alexey N. Averkin Intellegence Systems Department FRC CSC RAS Moscow Russia

ISBN: (数字)9798350363708

ISBN: (纸本)9798350363715

Large language Models (LLMs) have demonstrated outstanding performance in natural language processing over the past few years. The adoption of LLMs across digital applications in various walks of life is growing exponentially. However, the mechanisms by which LLMs, like all types of artificial neural networks, yield their results remain opaque. This lack of transparency in decision-making poses risks for the further use of the technology. This paper presents a concise review of approaches to obtaining explanations of LLM outcomes. It examines the principal methods of explainable artificial intelligence that are applied to generate explanations for LLM predictions. An approach for classifying local explanation methods is proposed.

关键词： Adaptation models Reviews Computational modeling Decision making Artificial neural networks natural language processing Task analysis

来源：评论

学校读者我要写书评

暂无评论

Automatic Gloss-level Data Augmentation for Sign language Translation 13

Automatic Gloss-level Data Augmentation for Sign Language Tr...

引用

13th International conference on language Resources and Evaluation (LREC)

作者： Jang, Jin Yea Park, Hanmu Shin, Saim Shin, Suna Yoon, Byungcheon Gweon, Gahgene Seoul Natl Univ Dept Intelligence & Informat 1 Gwanak Ro Seoul South Korea Korea Nazarene Univ Sign Language Linguist Lab 22 Daewangpangyo Ro 712beon Gil Seongnam Si Gyeonggi Do South Korea Korea Nazarene Univ Dept Sign Language Interpreting 22 Daewangpangyo Ro 712beon Gil Seongnam Si Gyeonggi Do South Korea Korea Elect Technol Inst AIRC 48 Wolbong Ro Cheonan Si Chungcheongnam South Korea

ISBN: (纸本)9791095546726

Securing sufficient data to enable automatic sign language translation modeling is challenging. The data insufficiency issue exists in both video and text modalities;however, fewer studies have been performed on text data augmentation compared to video data. In this study, we present three methods of augmenting sign language text modality data, comprising 3,052 Gloss-level Korean Sign language (GKSL) and Word-level Korean language (WKL) sentence pairs. Using each of the three methods, the following number of sentence pairs were created: blank replacement 10,654, sentence paraphrasing 1,494, and synonym replacement 899. Translation experiment results using the augmented data showed that when translating from GKSL to WKL and from WKL to GKSL, Bi-Lingual Evaluation Understudy (BLEU) scores improved by 0.204 and 0.170 respectively, compared to when only the original data was used. The three contributions of this study are as follows. First, we demonstrated that three different augmentation techniques used in existing natural language processing (NLP) can be applied to sign language. Second, we propose an automatic data augmentation method which generates quality data by utilizing the Korean sign language gloss dictionary. Lastly, we publish the Gloss-level Korean Sign language 13k dataset (GKSL13k), which has verified data quality through expert reviews.

关键词： sign language translation sign language gloss data augmentation

来源：评论

学校读者我要写书评

暂无评论

Product and Industrial Classification Code Suggestion System for Thai language 17

Product and Industrial Classification Code Suggestion System...

引用

17th International Joint Symposium on Artificial Intelligence and natural language processing (iSAI-NLP) / 3rd International conference on Artificial Intelligence and Internet of Things (AIoT)

作者： Siricharoenchai, Rungkarn Chatsuwan, Panchapawn Tanwanont, Paramet Janbradab, Sarunruk Surasvadi, Navaporn Thajchayapong, Suttipong Natl Elect & Comp Technol Ctr Data Sci & Analyt Res Grp Pathum Thani Thailand

ISBN: (数字)9781665457279

ISBN: (纸本)9781665457279

In this work, a system is created to suggest product/service code and industrial classification code for Thai language. The system can suggest UNSPSC and TSIC codes relevant to query terms via indexing search. Techniques used in this work are based on knowledge of text processing and text similarity, as well as indexing. Through a complexity analysis, the system has been proved efficient as it can retrieve data about 1,000 times faster than traditional methods. Furthermore, Mean Reciprocal Rank (MRR) was employed to evaluate the search results of 1,000 products and services. The results showed that the proposed system achieved the MRR of 0.46, indicating the relevant search result is approximately in the second or third rank. Currently, the proposed system has been implemented as a part of SMEs registration process in the OSMEP website to support Thai SMEs to access government procurement.

关键词： suggestion system indexing search Elasticsearch N-gram UNSPSC TSIC

来源：评论

学校读者我要写书评

暂无评论

A Systematic Literature Review of Question Answering: Research Trends, Datasets, methods 22nd

A Systematic Literature Review of Question Answering: Resear...

引用

22nd International conference on Computational Science and its Applications (ICCSA)

作者： Bakir, Dilan Aktas, Mehmet S. Yildiz Tech Univ Istanbul Turkey

ISBN: (纸本)9783031105364;9783031105357

Answering questions, finding the most appropriate answer to the question given by the user as input are among the important tasks of natural language processing. Many studies have been done on question answering and datasets, methods have been published. The aim of this article is to reveal the studies done in question answering and to identify the missing research topics. In this literature review, it is tried to determine the datasets, methods and frameworks used for question answering between 2000 and 2022. From the articles published between these years, 91 papers are selected based on inclusion and exclusion criteria. This systematic literature review consists of research analyzes such as research questions, search strategy, inclusion and exclusion criteria, data extraction. We see that the selected final study focuses on four topics. These are natural language processing, Information Retrieval, Knowledge Base, Hybrid Based.

关键词： Question answering Information retrieval Knowledge based question answering NLP based question answering Systematic literature review

来源：评论

学校读者我要写书评

暂无评论

Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval

Dual Alignment Unsupervised Domain Adaptation for Video-Text...

引用

IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Hao, Xiaoshuai Zhang, Wanqian Wu, Dayan Zhu, Fei Li, Bo Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9798350301298

Video-text retrieval is an emerging stream in both computer vision and natural language processing communities, which aims to find relevant videos given text queries. In this paper, we study the notoriously challenging task, i.e., Unsupervised Domain Adaptation Video-text Retrieval (UDAVR), wherein training and testing data come from different distributions. Previous works merely alleviate the domain shift, which however overlook the pairwise misalignment issue in target domain, i.e., there exist no semantic relationships between target videos and texts. To tackle this, we propose a novel method named Dual Alignment Domain Adaptation (DADA). Specifically, we first introduce the cross-modal semantic embedding to generate discriminative source features in a joint embedding space. Besides, we utilize the video and text domain adaptations to smoothly balance the minimization of the domain shifts. To tackle the pairwise misalignment in target domain, we propose the Dual Alignment Consistency (DAC) to fully exploit the semantic information of both modalities in target domain. The proposed DAC adaptively aligns the video-text pairs which are more likely to be relevant in target domain, enabling that positive pairs are increasing progressively and the noisy ones will potentially be aligned in the later stages. To that end, our method can generate more truly aligned target pairs and ensure the discriminability of target features. Compared with the state-of-the-art methods, DADA achieves 20.18% and 18.61% relative improvements on R@1 under the setting of TGIF -> MSR-VTT and TGIF -> MSVD respectively, demonstrating the superiority of our method.

关键词： language reasoning Vision

来源：评论

学校读者我要写书评

暂无评论

Advancing Cross-domain Discriminability in Continual Learning of Vision-language Models 38

Advancing Cross-domain Discriminability in Continual Learnin...

引用

38th conference on Neural Information processing Systems, NeurIPS 2024

作者： Xu, Yicheng Chen, Yuxin Nie, Jiahao Wang, Yusong Zhuang, Huiping Okumura, Manabu Institute of Science Tokyo Japan University of California Berkeley United States Nanyang Technological University Singapore South China University of Technology China Greater Bay Area Institute for Innovation Hunan University China

Continual learning (CL) with Vision-language Models (VLMs) has overcome the constraints of traditional CL, which only focuses on previously encountered classes. During the CL of VLMs, we need not only to prevent the catastrophic forgetting on incrementally learned knowledge but also to preserve the zero-shot ability of VLMs. However, existing methods require additional reference datasets to maintain such zero-shot ability and rely on domain-identity hints to classify images across different domains. In this study, we propose Regression-based Analytic Incremental Learning (RAIL), which utilizes a recursive ridge regression-based adapter to learn from a sequence of domains in a non-forgetting manner and decouple the cross-domain correlations by projecting features to a higher-dimensional space. Cooperating with a training-free fusion module, RAIL absolutely preserves the VLM's zero-shot ability on unseen domains without any reference data. Additionally, we introduce Cross-domain Task-Agnostic Incremental Learning (X-TAIL) setting. In this setting, a CL learner is required to incrementally learn from multiple domains and classify test images from both seen and unseen domains without any domain-identity hint. We theoretically prove RAIL's absolute memorization on incrementally learned domains. Experiment results affirm RAIL's state-of-the-art performance in both X-TAIL and existing Multi-domain Task-Incremental Learning settings. The code is released at https://***/linghan1997/Regression-based-Analytic-Incremental-Learning. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Password Classification Using Machine Learning and natural language processing Techniques: methods and Evaluations

Password Classification Using Machine Learning and Natural L...

引用

Cyber Security in Networking conference (CSNet)

作者： Binh Le Thanh Thai Tsubasa Takii Hidema Tanaka Department of Computer Science National Defense Academy Yokosuka Japan

ISBN: (数字)9798331534103

ISBN: (纸本)9798331534110

Passwords are the most widely used authentication method and play a crucial role in the field of information security. In this study, we explore the effectiveness of applying machine learning (ML) and natural language processing (NLP) techniques to password classification. We compare the performance of classifiers by using eight ML techniques and four NLP techniques to classify user-created passwords. The experimental results show that the classifier using a combination of Bag-of-Words and Logistic Regression outperforms other classifiers, achieving an accuracy of 98.53% and a recall for weak passwords of 99.68%.

关键词： Training Logistic regression Accuracy Information security Passwords Machine learning natural language processing Reliability Computer crime Testing

来源：评论

学校读者我要写书评

暂无评论

Information Re-Organization Improves Reasoning in Large language Models 38

Information Re-Organization Improves Reasoning in Large Lang...

引用

38th conference on Neural Information processing Systems, NeurIPS 2024

作者： Cheng, Xiaoxia Tan, Zeqi Xue, Wei Lu, Weiming College of Computer Science and Technology Zhejiang University China

Improving the reasoning capabilities of large language models (LLMs) has attracted considerable interest. Recent approaches primarily focus on improving the reasoning process to yield a more precise final answer. However, in scenarios involving contextually aware reasoning, these methods neglect the importance of first identifying logical relationships from the context before proceeding with the reasoning. This oversight could lead to a superficial understanding and interaction with the context, potentially undermining the quality and reliability of the reasoning outcomes. In this paper, we propose an information re-organization (InfoRE) method before proceeding with the reasoning to enhance the reasoning ability of LLMs. Our re-organization method involves initially extracting logical relationships from the contextual content, such as documents or paragraphs, and subsequently pruning redundant content to minimize noise. Then, we utilize the re-organized information in the reasoning process. This enables LLMs to deeply understand the contextual content by clearly perceiving these logical relationships, while also ensuring high-quality responses by eliminating potential noise. To demonstrate the effectiveness of our approach in improving the reasoning ability, we conduct experiments using Llama2-70B, GPT-3.5, and GPT-4 on various contextually aware multi-hop reasoning tasks. Using only a zero-shot setting, our method achieves an average absolute improvement of 4% across all tasks, highlighting its potential to improve the reasoning performance of LLMs. Our source code is available at https://***/hustcxx/InfoRE. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large language Models 38

Delta-CoMe: Training-Free Delta-Compression with Mixed-Preci...

引用

38th conference on Neural Information processing Systems, NeurIPS 2024

作者： Ping, Bowen Wang, Shuo Wang, Hanqing Han, Xu Xu, Yuzhuang Yan, Yukun Chen, Yun Chang, Baobao Liu, Zhiyuan Sun, Maosong Peking University China Dept. of Comp. Sci. & Tech. Tsinghua University Beijing China Shanghai University of Finance and Economics China Institute for AI Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology China

Fine-tuning is a crucial process for adapting large language models (LLMs) to diverse applications. In certain scenarios, such as multi-tenant serving, deploying multiple LLMs becomes necessary to meet complex demands. Recent studies suggest decomposing a fine-tuned LLM into a base model and corresponding delta weights, which are then compressed using low-rank or low-bit approaches to reduce costs. In this work, we observe that existing low-rank and low-bit compression methods can significantly harm the model performance for task-specific fine-tuned LLMs (e.g., WizardMath for math problems). Motivated by the long-tail distribution of singular values in the delta weights, we propose a delta quantization approach using mixed-precision. This method employs higher-bit representation for singular vectors corresponding to larger singular values. We evaluate our approach on various fine-tuned LLMs, including math LLMs, code LLMs, chat LLMs, and even VLMs. Experimental results demonstrate that our approach performs comparably to full fine-tuned LLMs, surpassing both low-rank and low-bit baselines by a considerable margin. Additionally, we show that our method is compatible with various backbone LLMs, such as Llama-2, Llama-3, and Mistral, highlighting its generalizability. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

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 << < 466 467 468 469 470 471 472 473 474 475 > >>

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：