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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311-320 订阅
排序:
Can LLMs Clarify? Investigation and Enhancement of Large language Models on Argument Claim Optimization  31
Can LLMs Clarify? Investigation and Enhancement of Large Lan...
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31st International conference on Computational Linguistics, COLING 2025
作者: Wang, Yiran He, Ben Chen, Xuanang Sun, Le School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Chinese Information Processing Laboratory Institute of Software Chinese Academy of Sciences Beijing China
In argumentation, the claim is the foundational proposition that underpins the argument, serving as the central pillar upon which the argument is constructed. It guides the subsequent presentation of evidence, reasoni... 详细信息
来源: 评论
Research on the Improvement of Human-Machine Collaborative Machine Translation Model Based on Internet  14th
Research on the Improvement of Human-Machine Collaborative M...
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14th International conference on Frontier Computing, FC 2024
作者: Sun, Wei Yao, Man Foreign Language School Anhui Xinhua University Anhui Hefei China
Machine translation is a key study subject in computer science that has drawn interest from a wide range of academic disciplines, including linguistics, philosophy, psychology, physics, and engineering. Its journey ov... 详细信息
来源: 评论
15th International conference on Software Business, ICSOB 2024
15th International Conference on Software Business, ICSOB 20...
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15th International conference on Software Business, ICSOB 2024
The proceedings contain 36 papers. The special focus in this conference is on Software Business. The topics include: Digital Sovereignty: Affordances in Open Source Projects;The Ethical Landscape in Public P...
来源: 评论
Universal Low-Resource Speech Synthesis Via Phoneme Fusion Coordinating Low-Rank Decomposition
Universal Low-Resource Speech Synthesis Via Phoneme Fusion C...
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2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Li, Yanliang Yu, Zhengtao Wang, Linqin Gao, Shengxiang Dong, Ling Wang, Wenjun Info. Engineering and Automation Yunnan Key Lab. of AI Kunming University of Tech. and Sci. Kunming China
Recent advancements in end-to-end text-to-speech models have made significant progress. However, these approaches based on high-resource languages, are inapplicable for low-resource languages, and existing low-resourc... 详细信息
来源: 评论
InVideo Search: Scene Description Clustering and Integrating Image and Audio Captioning for Enhanced Video Search  21st
InVideo Search: Scene Description Clustering and Integrating...
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21st International conference on Distributed Computing and Intelligent Technology
作者: Khan, Almira Asif Muhammed Shaji, Asher Mathews Sujith, Devika Nath, Aneesh G. Udmale, Sandeep S. TKM Coll Engn Dept Comp Sci & Engn Kollam Kerala India Veermata Jijabai Technol Inst VJTI Dept Comp Engn & Informat Technol Mumbai 400019 Maharashtra India
In the digital era, the vast amount of long videos highlights the need for an advanced system to efficiently find specific segments based on text descriptions. The proposed solution aims to develop a video content ret... 详细信息
来源: 评论
Automatic Extraction and Formalization of Temporal Requirements from Text: A Survey  28th
Automatic Extraction and Formalization of Temporal Require...
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28th International conference on Enterprise Design, Operations, and Computing, EDOC 2024
作者: Barrientos, Marisol Winter, Karolin Rinderle-Ma, Stefanie Technical University of Munich Garching Germany Eindhoven University of Technology Eindhoven Netherlands
natural language processing has opened new paths for business process management and requirements engineering, particularly in automating the extraction and formalization of temporal requirements from diverse document... 详细信息
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CEEMDAN–WTD Denoising Method for Enhanced Magnetic Memory Detection Signal of Defects  16
CEEMDAN–WTD Denoising Method for Enhanced Magnetic Memory D...
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16th International conference on Signal processing Systems, ICSPS 2024
作者: Ji, Shouhong Yan, Jie Liu, Yang He, Guojun National Pipeline Network Group Zhejiang Natural Gas Pipeline Network Co. Ltd Hangzhou310000 China
During the enhanced magnetic memory detection of defects, many interference signals appear in the detection signal, which makes it difficult to accurately extract the characteristics of the defect signals and signific... 详细信息
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Caskow: Context-Aware Stance Detection Using External Knowledge-Augmented LLM
Caskow: Context-Aware Stance Detection Using External Knowle...
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International conference on Web Research (ICWR)
作者: Maryam Shafiei Hossein Rahmani Amirhossein Derakhshan Milad Allahgholi School of Computer Engineering Iran University of Science and Technology Tehran Iran
Stance detection in texts is an important task in natural language processing with diverse applications in political, economic and marketing. The research conducted in this area is categorized into traditional methods... 详细信息
来源: 评论
IDE: A Multi-Agent-Driven Iterative Framework for Dynamic Evaluation of LLMs
IDE: A Multi-Agent-Driven Iterative Framework for Dynamic Ev...
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International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Xin Tong Bo Jin Jingya Wang Wenpeng Xing Tian Xia Meng Han People’s Public Security University of China Beijing China The Third Research Institute of the Ministry of Public Security of China China Zhejiang University Hangzhou China Renmin University of China Beijing China
With the widespread use of large language models (LLMs) in natural language processing, traditional evaluation methods based on static datasets have become inadequate to fully capture their performance and generalizat... 详细信息
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BertTab: Table Learning with Feature Descriptions and Context  7th
BertTab: Table Learning with Feature Descriptions and Contex...
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7th Chinese conference on Pattern Recognition and Computer Vision
作者: Xie, Meng An, Haibing Han, Songjun Mao, Jiangtao Jiang, Ying Wang, Jiajia Xinjiang Univ Urumqi Peoples R China
Tabular data is widely used as a common form of relational data in many industries where machine learning is applied, especially in finance, healthcare, and industry. However, traditional methods often do not fully co... 详细信息
来源: 评论