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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是101-110 订阅
排序:
Outperforming Larger Models on Text Classification Through Continued Pre-training  13th
Outperforming Larger Models on Text Classification Through C...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Zheng, Yu Liu, Ming Ao, Zou Hao, Wenning Zhang, Hui Sun, Yi Army Engn Univ PLA Coll Command & Control Engn Nanjing 210007 Peoples R China Natl Univ Def Technol Res Inst 63 Nanjing 210007 Peoples R China Natl Univ Def Technol Lab Big Data & Decis Changsha 410073 Peoples R China
Generative large language models (LLMs), such as GPT-4, have demonstrated remarkable performance across a wide range of NLP tasks. The increased number of LLMs' parameters enhances their generalization capabilitie...
来源: 评论
Chinese Personalized Commonsense Understanding and Reasoning Based on Curriculum-Learning  13th
Chinese Personalized Commonsense Understanding and Reasoning...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Yang, Yong Li, Weijie Fan, Xiaochao Deng, Wenjun Liu, Jiapeng Diao, Yufeng Tuerxun, Palidan Xinjiang Univ Sch Software Urumqi Xinjiang Peoples R China Xinjiang Normal Univ Coll Comp Sci & Technol Urumqi Xinjiang Peoples R China Inner Mongolia Minzu Univ Coll Comp Sci & Technol Tongliao Inner Mongolia Peoples R China
The development of general-purpose artificial intelligence that can understand and reason with common sense is a significant challenge. However, there has been a lack of research on fully considering personality trait... 详细信息
来源: 评论
Harnessing Knowledge Distillation for Enhanced Text-to-Text Translation in Low-Resource Languages  26th
Harnessing Knowledge Distillation for Enhanced Text-to-Text ...
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26th International Conference on Speech and Computer
作者: Ahmed, Manar Ouled Ming, Zuheng Othmani, Alice Declic AI Res Riyadh Saudi Arabia Deck AI Res Melbourne Vic Australia Univ Sorbonne Paris Nord L2TI Villetaneuse France Univ Paris Est UPEC LISSI Vitry Sur Seine France
Text-to-text translation is crucial for effective communication and understanding across different languages. In this paper, we present a deep learning-based approach for text-to-text translation. Our method leverages...
来源: 评论
Leveraging Two-Stream Cause-Effect Relation for Emotion-Cause Analysis  13th
Leveraging Two-Stream Cause-Effect Relation for Emotion-Caus...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Ran, Junfeng Tian, Zailong Luo, Weiyao Li, Sujian Peking Univ MOE Key Lab Computat Linguist Beijing Peoples R China
Emotion Cause Analysis (ECA) is a task to analyze corresponding causes for emotions expressed in a text, utilizing explicit or implicit cause-effect relations between them. Previous research typically focused on seque...
来源: 评论
RAVL: A Retrieval-Augmented Visual Language Model Framework for Knowledge-Based Visual Question Answering  13th
RAVL: A Retrieval-Augmented Visual Language Model Framework ...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Chai, Naiquan Zou, Dongsheng Liu, Jiyuan Wang, Hao Yang, Yuming Song, Xinyi Chongqing Univ Sch Comp Sci Chongqing Peoples R China
Knowledge-based visual question answering (VQA) requires external knowledge in addition to the image content to answer questions. Recent studies convert images to text descriptions and then generate answers or acquire...
来源: 评论
CKF: Conditional Knowledge Fusion Method for CommonSense Question Answering  13th
CKF: Conditional Knowledge Fusion Method for CommonSense Que...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Xie, Minghui Hao, Chuzhan Zhang, Peng Ma, XinDian Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China
Augmenting pretrained language model (PLM) with knowledge graph (KG) has demonstrated superior performance for commonsense question answering (CSQA). In the knowledge fusion process, existing KG-augmented methods igno...
来源: 评论
Pre-training and Adverse Audio Samples for Data-Efficient Wake Word Detection  26th
Pre-training and Adverse Audio Samples for Data-Efficient Wa...
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26th International Conference on Speech and Computer
作者: Torralbo, Manuel Mendez, Ariane Agirre, Maia Del Pozo, Arantza Vicomtech Fdn Basque Res & Technol Alliance BRTA Mikeletegi 57 Donostia San Sebastian 20009 Spain
This work investigates the impact of pre-training and the use of adverse audio samples on both the data efficiency and performance of end-to-end neural Wake Word Detection systems. Alongside intensive data augmentatio...
来源: 评论
Investigating Data Requirements for Hindi Speaker Recognition: A Comparative Study with English  26th
Investigating Data Requirements for Hindi Speaker Recognitio...
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26th International Conference on Speech and Computer
作者: Khadse, Parth Chandra, Sabyasachi Bharati, Puja Pramanik, Debolina Prasad, G. Satya Aitawade, Aniket Das Mandal, Shyamal Kumar Indian Inst Technol Kharagpur W Bengal India
Speaker recognition is a method that assigns a distinct identity to each individual voice. For developing these systems generally, a large amount of data is required which should have a large number of speakers usuall...
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Overview of the NLPCC 2024 Shared Task 2: Nominal Compound Chain Extraction  13th
Overview of the NLPCC 2024 Shared Task 2: Nominal Compound C...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Li, Bobo Fei, Hao Li, Fei Ji, Donghong Wuhan Univ Sch Cyber Sci & Engn Key Lab Aerosp Informat Secur & Trusted Comp Minist Educ Wuhan Peoples R China Natl Univ Singapore Sch Comp Singapore Singapore
Nominal compound chain extraction (NCCE) represents an emerging task within the domain of natural language processing, exhibiting significant potential for application in various downstream tasks, including relation e...
来源: 评论
HTCSI: A Hierarchical Text Classification Method Based on Selection-Inference  13th
HTCSI: A Hierarchical Text Classification Method Based on Se...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Xu, Yiming Feng, Jianzhou Gu, Chenghan Qin, Haonan Xue, Kehan Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066000 Hebei Peoples R China
Hierarchical Text Classification (HTC) is a complex task that involves categorizing text within a hierarchical labeling system. Current methodologies primarily focus on integrating hierarchical information into encodi...
来源: 评论