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检索条件"任意字段=Conference on empirical methods in natural language processing"
15205 条 记 录,以下是4871-4880 订阅
排序:
Efficient Unicode Ordinal Values for Text Embedding with FastText and Word2Vec
Efficient Unicode Ordinal Values for Text Embedding with Fas...
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International Joint Symposium on Artificial Intelligence and natural language processing (iSAI-NLP)
作者: Agnij Moitra Amity International School Saket Delhi India
Accurately representing categorical data is crucial for enhancing machine learning model performance, especially when dealing with ordinal data, where the order of categories is significant. This work provides a novel... 详细信息
来源: 评论
Pre-training Fine-tuning data Enhancement method based on active learning  21
Pre-training Fine-tuning data Enhancement method based on ac...
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21st IEEE International conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom)
作者: Cao, Deqi Ding, Zhaoyun Wang, Fei Ma, Haoyang Natl Univ Def Technol Key Lab Informat Syst Engn Changsha Peoples R China
With the development of Internet technology, the number of Internet users increases rapidly, and the amount of data generated on the Internet is very large every day. At the same time, with the development of storage ... 详细信息
来源: 评论
Classifying Cyber-Risky Clinical Notes by Employing natural language processing  55
Classifying Cyber-Risky Clinical Notes by Employing Natural ...
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55th Annual Hawaii International conference on System Sciences (HICSS)
作者: Schmeelk, Suzanna Dogo, Martins Samuel Peng, Yifan Patra, Braja Gopal St Johns Univ Jamaica NY 11439 USA Queens Univ Belfast Belfast Antrim North Ireland Weill Cornell Med Dept Populat Hlth Sci New York NY USA
Clinical notes, which can be embedded into electronic medical records, document patient care delivery and summarize interactions between healthcare providers and patients. These clinical notes directly inform patient ... 详细信息
来源: 评论
Example Driven Code Review Explanation  22
Example Driven Code Review Explanation
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16th ACM/IEEE International Symposium on empirical Software Engineering and Measurement (ESEM)
作者: Rahman, Shadikur Koana, Umme Ayman Nayebi, Maleknaz York Univ Toronto ON Canada
Background: Code reviewing is an essential part of software development to ensure software quality. However, the abundance of review tasks and the intensity of the workload for reviewers negatively impact the quality ... 详细信息
来源: 评论
E-Assessment of Question-Answering Scoring Using Semantic Text Matching In Arabic language
E-Assessment of Question-Answering Scoring Using Semantic Te...
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Emerging Technologies for Dependable Internet of Things (ICETI), International conference on
作者: Nooruddine F. Assarwie Mohammed Faris Aldhafer Yousef Khaled Ahmed Information Technology University of Science and Technology Ibb Yemen
Smart technologies are vital for progressions in text processing. They support the enhancement of academic activities' efficiency. For e-assessment, they provide researchers and educators with tools for objective ... 详细信息
来源: 评论
Read, Spell and Repeat: Scene Text Recognition with Vision-language Circular Refinement
Read, Spell and Repeat: Scene Text Recognition with Vision-L...
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International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Taiwei Zhang Zhenghui Hu Weixin Li Qingjie Liu Yunhong Wang Hangzhou Innovation Institute Beihang University Hangzhou China Shanghai Artificial Intelligence Laboratory Shanghai China School of Computer Science and Engineering Beihang University Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China
Scene Text Recognition (STR) has long been considered an important yet challenging task in the field of computer vision. Recent works have demonstrated that utilizing language information is effective for the visually...
来源: 评论
Beyond Audio Signals: Generative Model-Based Speaker Diarization in Portuguese  34th
Beyond Audio Signals: Generative Model-Based Speaker Diariza...
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34th Brazilian conference on Intelligent Systems
作者: Boll, Antonio Oss Puttlitz, Leticia Maria Boll, Heloisa Oss Malossi, Rodrigo Mor Univ Sao Paulo Inst Math & Stat Rua Matao BR-05508090 Sao Paulo SP Brazil Univ Fed Rio Grande do Sul Inst Informat Ave Bento Goncalves 9500 BR-91501970 Porto Alegre RS Brazil
Speaker diarization, the task of automatically identifying different speakers in audio and video, is frequently performed using probabilistic models and deep learning techniques. However, existing methods usually rely... 详细信息
来源: 评论
Coherentice: Invertible Concept-Based Explainability Framework for CNNs beyond Fidelity
Coherentice: Invertible Concept-Based Explainability Framewo...
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IEEE International conference on Multimedia and Expo (ICME)
作者: Ugochukwu Ejike Akpudo Yongsheng Gao Jun Zhou Andrew Lewis
In their natural form, convolutional neural networks (CNNs) lack interpretability despite their effectiveness in visual categorization. Concept activation vectors (CAVs) offer human-interpretable quantitative explaina... 详细信息
来源: 评论
Comparative Analysis of News Articles Summarization using LLMs
Comparative Analysis of News Articles Summarization using LL...
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Innovation in Technology (APCIT), Asia Pacific conference on
作者: Archanaa. N Shivanesh. B Suwin Kumar. J.D. T Bharathi Mohan G Srinath Doss Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Faculty of Engineering and Technology Botho University Botswana
In the rapidly evolving domain of natural language processing (NLP), the efficiency of Large language Models (LLMs) in generating abstractive text summaries plays a pivotal role in information synthesis. This study ad... 详细信息
来源: 评论
What Events Do Pre-trained language Models Learn from Text? Probing Event-Based Commonsense Knowledge by Confidence Sorting  12th
What Events Do Pre-trained Language Models Learn from Text?...
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12th National CCF conference on natural language processing and Chinese Computing, NLPCC 2023
作者: Li, Jiachun Wang, Chenhao Chen, Yubo Liu, Kang Zhao, Jun The Laboratory of Cognition and Decision Intelligence for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
Recently, there are a lot of works trying to probe knowledge in pre-trained language models (PLMs). Most probing works use data in knowledge bases to create a "fill-in-the-blank" task form and probe entity k... 详细信息
来源: 评论