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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是151-160 订阅
排序:
PqE: Zero-Shot Document Expansion for Dense Retrieval with Large Language Models  13th
PqE: Zero-Shot Document Expansion for Dense Retrieval with L...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Liu, Jiyuan Zou, Dongsheng Chai, Naiquan Yang, Yuming Wang, Hao Song, Xinyi Chongqing Univ Sch Comp Sci Chongqing Peoples R China
The dense retrieval model offers remarkable capabilities, yet it exhibits inconsistencies in the embedding space of queries and documents due to its dual-encoder structure. Addressing this limitation, we introduce Pse...
来源: 评论
Instruct Large Language Models to Generate Scientific Literature Survey Step by Step  13th
Instruct Large Language Models to Generate Scientific Litera...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Lai, Yuxuan Wu, Yupeng Wang, Yidan Hu, Wenpeng Zheng, Chen Open Univ China Beijing Peoples R China Minist Educ Engn Res Ctr Integrat & Applicat Digital Learning Beijing Peoples R China FloatMiracle Beijing Peoples R China PLA Acad Mil Sci Beijing Peoples R China
Automatically generating scientific literature surveys is a valuable task that can significantly enhance research efficiency. However, the diverse and complex nature of information within a literature survey poses sub...
来源: 评论
An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory  13th
An Iterative Framework for Document-Level Event Argument Ext...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: You, Tao Li, Zejun Fan, Zhihao Yin, Cunxiang Li, Yancheng Cao, Jing Fu, JinHua Wei, Zhongyu Fudan Univ Sch Data Sci Shanghai Peoples R China Tencent Shenzhen Peoples R China Alibaba Grp Hangzhou Peoples R China
Document-level Event Argument Extraction (DEAE) is a highly challenging subtask of information extraction, especially in news scenarios where the event structure is complex. Most of the current methods are entity-base...
来源: 评论
Retrospective and Perspectives of TTS & STT Technology Development and Implementation for South Slavic Under-Resourced Languages  26th
Retrospective and Perspectives of TTS & STT Technology Devel...
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26th International Conference on Speech and Computer
作者: Secujski, Milan Popovic, Branislav Pekar, Darko Jakovljevic, Niksaa Pakoci, Edvin Suzic, Sinisaa Nosek, Tijana Simic, Nikola Stanojev, Vuk Delic, Vlado Univ Novi Sad Fac Tech Sci Novi Sad Serbia AlfaNum Ltd Novi Sad Serbia
Speech technologies such as text-to-speech (TTS) and speech-to-text (STT) are becoming increasingly applicable. Significant improvements in their quality are driven by advancements in deep machine learning. The abilit...
来源: 评论
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation  13th
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor G...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Qu, Xingwei Zhang, Ge Wu, Siwei Li, Yizhi Lin, Chenghua Univ Manchester Manchester Lancs England Stardust AI Beijing Peoples R China Univ Waterloo Waterloo ON Canada Multimodal Art Project Res Community Beijing Peoples R China
This paper presents the results of the shared task on Chinese metaphor generation, hosted at the 13th CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2024). The goal of this shared task is t...
来源: 评论
Deep Foreground-Background Weighted Cross-modal Hashing  13th
Deep Foreground-Background Weighted Cross-modal Hashing
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zhao, Guanqi Mao, Xan-Ling Tu, Rong-Cheng Ji, Wenjin Huang, Heyan Beijing Inst Technol Beijing Peoples R China
With the rapid growth of multi-modal data, deep cross-modal hashing algorithms provide a perfect solution for cross-modal retrieval tasks for their advantages of efficient retrieval speed and low storage consumption. ...
来源: 评论
Enhancing Chinese Essay Discourse Logic Evaluation Through Optimized Fine-Tuning of Large Language Models  13th
Enhancing Chinese Essay Discourse Logic Evaluation Through O...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Song, Jinwang Song, Yanxin Zhou, Guangyu Fu, Wenhui Zhang, Kunli Zan, Hongying Zhengzhou Univ Zhengzhou Peoples R China
Due to the high complexity and diversity of writing, automated essay evaluation systems face significant challenges. Large language models (LLMs), representing the latest peak in NLP technology for semantic understand...
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Hate Speech Detection for the Power Domain  13th
Hate Speech Detection for the Power Domain
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Huang, Qingbao Deng, Zehua Chen, Shizhen Chen, Yifei Shuang, Feng Guangxi Univ Sch Elect Engn Nanning Guangxi Peoples R China Guangxi Univ Sch Comp Elect & Informat Nanning Guangxi Peoples R China Guangxi Key Lab Intelligent Control & Maintenance Nanning Guangxi Peoples R China
The professional nature and confidentiality of the power domain hinder the public to accurately assess the authenticity of online electricity-related statements, fostering an environment conducive to the spread of ele...
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NLPCC2024 Shared Task 3 Technical Report  13th
NLPCC2024 Shared Task 3 Technical Report
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Sun, Yingfei Ji, Wei Natl Univ Singapore Singapore Singapore
This technical report presents our approach for the NLPCC 2024 Shared Task 3. It outlines the task content, and our proposed methodology and introduces some related works of this task. The report provides a brief desc...
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Regularized Continual Learning for Large-Scale Language Models via Probing  13th
Regularized Continual Learning for Large-Scale Language Mode...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Song, Xingshen Ren, Tianxiang Deng, Jinsheng Natl Univ Def Technol Changsha 410073 Peoples R China
The rapid development of large-scale language models has garnered widespread interest from both academia and industry. Efficiently applying those models across various domains is now posing a challenge to researchers....
来源: 评论