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检索条件"任意字段=Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing"
951 条 记 录,以下是891-900 订阅
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Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation
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JMIR MEDICAL INFORMATICS 2020年 第5期8卷 e17637页
作者: Zhang, Zhichang Zhu, Lin Yu, Peilin Univ Northwest Normal Coll Comp Sci & Engn 967 Arming East Rd Lanzhou Peoples R China
Background: Medical entity recognition is a key technology that supports the development of smart medicine. Existing methods on English medical entity recognition have undergone great development, but their progress i... 详细信息
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Point Cloud Geometry Coding with Relational Neighborhood Self-Attention
Point Cloud Geometry Coding with Relational Neighborhood Sel...
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IEEE workshop on Multimedia Signal processing
作者: Mohammadreza Ghafari André F. R. Guarda Nuno M. M. Rodrigues Fernando Pereira Instituto Superior Técnico - Universidade de Lisboa Instituto de Telecomunicações Lisbon Portugal Instituto de Telecomunicações Lisbon Portugal ESTG-Politécnico de Leiria Instituto de Telecomunicações Lisbon Portugal
In the ever-evolving landscape of deep learning, attention models have contributed to boost the performance in diverse fields such as computer vision and natural language processing. Following this trend, this paper p... 详细信息
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FF-PRec: A Feature Fusion-based Paper Recommendation Method on Academic Big Data of Heterogeneous Network
FF-PRec: A Feature Fusion-Based Paper Recommendation Method ...
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Computer Information Science and Artificial Intelligence (CISAI), International Conference on
作者: Yongkang Du Weilong Ding Ying Liang School of Information Science and Technology North China University of Technology Beijing China Research Center for Ubiquitous Computing Systems Institute of Computing Technology Chinese Academy of Science Beijing China
With the development of information technology, academic data has increased dramatically. Nowadays, recommendation algorithm is widely used for scholars to find useful information from massive data. However, due to th... 详细信息
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Comparing approaches to dravidian language identification
arXiv
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arXiv 2021年
作者: Jauhiainen, Tommi Ranasinghe, Tharindu Zampieri, Marcos University of Helsinki Finland University of Wolverhampton United Kingdom Rochester Institute of Technology United States
This paper describes the submissions by team HWR to the Dravidian language Identification (DLI) shared task organized at VarDial 2021 workshop. The DLI training set includes 16,674 YouTube comments written in Roman sc... 详细信息
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LASAGNE: Locality and Structure Aware graph Node Embedding
arXiv
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arXiv 2017年
作者: Faerman, Evgeniy Borutta, Felix Fountoulakis, Kimon Mahoney, Michael W. Ludwig-Maximilians-Universitat Munchen University of California at Berkeley
Recent work has attempted to identify structure in social and information graphs by using the following approach: first, use random walk methods to explore the neighborhood of a node;second, use ideas from natural lan... 详细信息
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Time-Aware Multiway Adaptive Fusion Network for Temporal Knowledge graph Question Answering
Time-Aware Multiway Adaptive Fusion Network for Temporal Kno...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Yonghao Liu Di Liang Fang Fang Sirui Wang Wei Wu Rui Jiang Centre for Natural Language Processing Meituan Inc Beijing China Department of Automation Tsinghua University Beijing China
Knowledge graphs (KGs) have received increasing attention due to its wide applications on natural language processing. However, its use case on temporal question answering (QA) has not been well-explored. Most of exis... 详细信息
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Back to the Future: Towards Explainable Temporal Reasoning with Large language Models
arXiv
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arXiv 2023年
作者: Yuan, Chenhan Xie, Qianqian Huang, Jimin Ananiadou, Sophia The University of Manchester Manchester United Kingdom Wuhan University Wuhan China
Temporal reasoning is a crucial natural language processing (NLP) task, providing a nuanced understanding of time-sensitive contexts within textual data. Although recent advancements in Large language Models (LLMs) ha... 详细信息
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Efficient Neural Architecture Search for End-to-End Speech Recognition Via Straight-Through Gradients
Efficient Neural Architecture Search for End-to-End Speech R...
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IEEE Spoken language Technology workshop
作者: Huahuan Zheng Keyu An Zhijian Ou Speech Processing and Machine Intelligence (SPMI) Lab Tsinghua University China
Neural Architecture Search (NAS), the process of automating architecture engineering, is an appealing next step to advancing end-to-end Automatic Speech Recognition (ASR), replacing expert-designed networks with learn... 详细信息
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Keyphrase Extraction for Technical language processing
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JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY 2022年 126卷 126053页
作者: Dima, Alden Massey, Aaron NIST Informat Syst Grp Gaithersburg MD 20899 USA Univ Maryland Baltimore Cty Software Engn Baltimore MD 21250 USA
Keyphrase extraction is an important facet of annotation tools that offer the provision of the metadata necessary for technical language processing (TLP). Because TLP imposes additional requirements on typical natural... 详细信息
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Generative non-autoregressive unsupervised keyphrase extraction with neural topic modeling
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023年 第1期120卷
作者: Zhu, Xun Lou, Yinxia Zhao, Jing Gao, Wang Deng, Hongtao Jianghan Univ Sch Artificial Intelligence Wuhan Peoples R China Jianghan Univ Engn Res Ctr Intelligent Decis & Informat Proc Wuhan Peoples R China
Unsupervised keyphrase extraction (UKE) aims to detect out a set of keyphrases of a document without using any annotation signal for training the UKE model. Existing UKE models however either fail to solve the issue o... 详细信息
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