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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"
947 条 记 录,以下是151-160 订阅
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Legal Named Entity Recognition with Multi-Task Domain Adaptation  4
Legal Named Entity Recognition with Multi-Task Domain Adapta...
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4th natural Legal language processing workshop, NLLP 2022, co-located with the 2022 Conference on Empirical methods in natural language processing, EMNLP 2022
作者: Smădu, Răzvan-Alexandru Dinică, Ion-Robert Avram, Andrei-Marius Cercel, Dumitru-Clementin Pop, Florin Cercel, Mihaela-Claudia University Politehnica of Bucharest Faculty of Automatic Control and Computers Romania National Institute for Research & Development in Informatics - ICI Bucharest Romania First District Court of Buftea Romania
Named Entity Recognition (NER) is a well-explored area from Information Retrieval and natural language processing with an extensive research community. Despite that, few languages, such as English and German, are well... 详细信息
来源: 评论
KGRefiner: Knowledge graph Refinement for Improving Accuracy of Translational Link Prediction methods  3
KGRefiner: Knowledge Graph Refinement for Improving Accuracy...
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3rd workshop on Simple and Efficient natural language processing, SustaiNLP 2022
作者: Saeedizade, Mohammad Javad Torabian, Najmeh Minae-Bidgol, Behrouz School of Computer Engineering Iran University of Science and Technology Tehran Iran Department of Computer Engineering Central Tehran Branch Islamic Azad University Tehran Iran
Link Prediction is the task of predicting missing relations between knowledge graph(KG) entities. Recent work in link prediction mainly attempted to adapt a model to increase link prediction accuracy by using more lay... 详细信息
来源: 评论
Sentiment Analysis of Lithuanian Online Reviews Using Large language Models  29
Sentiment Analysis of Lithuanian Online Reviews Using Large ...
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29th International Conference Information Society and University Studies, IVUS 2024
作者: Vileikyte, Brigita Lukoševičius, Mantas Stankevičius, Lukas Kaunas University of Technology Faculty of Informatics StudentuSt. 50 Lithuania
Sentiment analysis is a widely researched area within natural language processing (NLP), attracting significant interest due to the advent of automated solutions. Despite this, the task remains challenging because of ... 详细信息
来源: 评论
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge graph Reasoning
Temporal Extrapolation and Knowledge Transfer for Lifelong T...
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Conference on Empirical methods in natural language processing (EMNLP)
作者: Chen, Zhongwu Xu, Chengjin Su, Fenglong Huang, Zhen Dou, Yong Natl Univ Def Technol Coll Comp Natl Key Lab Parallel & Distributed Comp Changsha Peoples R China Int Digital Econ Acad IDEA Shenzhen Peoples R China Natl Univ Def Technol Changsha Peoples R China
Real-world Temporal Knowledge graphs keep growing with time and new entities and facts emerge continually, necessitating a model that can extrapolate to future timestamps and transfer knowledge for new components. The... 详细信息
来源: 评论
MG-BERT: Multi-graph Augmented BERT for Masked language Modeling  15
MG-BERT: Multi-Graph Augmented BERT for Masked Language Mode...
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15th workshop on graph-based methods for natural language processing, Textgraphs 2021
作者: Ghader, Parishad Behnam Zakerinia, Hossein Baghshah, Mahdieh Soleymani Sharif University of Technology Tehran Iran
Pre-trained models like Bidirectional Encoder Representations from Transformers (BERT), have recently made a big leap forward in natural language processing (NLP) tasks. However, there are still some shortcomings in t... 详细信息
来源: 评论
A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research
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NATURE MACHINE INTELLIGENCE 2025年 第4期7卷 1-13页
作者: Zhang, Yuan Sui, Xin Pan, Feng Yu, Kaixian Li, Keqiao Tian, Shubo Erdengasileng, Arslan Han, Qing Wang, Wanjing Wang, Jianan Wang, Jian Sun, Donghu Chung, Henry Zhou, Jun Zhou, Eric Lee, Ben Zhang, Peili Qiu, Xing Zhao, Tingting Zhang, Jinfeng Florida State Univ Dept Stat Tallahassee FL 32306 USA Insilicom LLC Tallahassee FL 32303 USA Forward Informat Winchester MA USA Univ Rochester Dept Biostat & Computat Biol Rochester NY USA Florida State Univ Dept Geog Tallahassee FL USA
To address the rapid growth of scientific publications and data in biomedical research, knowledge graphs (KGs) have become a critical tool for integrating large volumes of heterogeneous data to enable efficient inform... 详细信息
来源: 评论
Leveraging Large language Models (LLMs) as Domain Experts in a Validation Process  40
Leveraging Large Language Models (LLMs) as Domain Experts in...
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40th Annual Conference of the Spanish Association for natural language processing, SEPLN-P 2024
作者: Badenes-Olmedo, Carlos García-Cuesta, Esteban Sánchez-González, Alejandro Corcho, Oscar Ontology Engineering Group Departamento de Sistemas Informáticos Universidad Politécnica de Madrid Spain Ontology Engineering Group Departamento de Inteligencia Artificial Universidad Politécnica de Madrid Spain
The explosion of information requires robust methods to validate knowledge claims. On the other hand, there is also an increase interest on understanding and creating methods that helps on the interpretation of machin... 详细信息
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Piecewise graph convolutional network with edge-level attention for relation extraction
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NEURAL COMPUTING & APPLICATIONS 2022年 第19期34卷 16739-16751页
作者: Yuan, Changsen Huang, Heyan Feng, Chong Cao, Qianwen Beijing Inst Technol Beijing Peoples R China
graph Convolutional Network (GCN) is a critical method to capture non-sequential information of sentences and recognize long-distance syntactic information. However, the adjacency matrix of GCN has two problems: redun... 详细信息
来源: 评论
A Clique-based graphical Approach to Detect Interpretable Adjectival Senses in Hungarian  16
A Clique-based Graphical Approach to Detect Interpretable Ad...
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16th workshop on graph-based methods for natural language processing, Textgraphs 2022, in conjunction with the 29th International Conference on Computational Linguistics, COLING 2022
作者: Héja, Eniko Ligeti-Nagy, Noémi Hungarian Research Centre for Linguistics Institute of Language Technology and Applies Sciences Language Technology Research Group Hungary
The present paper introduces an ongoing research which aims to detect interpretable adjectival senses from monolingual corpora applying an unsupervised WSI approach. According to our expectations the findings of our i... 详细信息
来源: 评论
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and languages  1
Beyond Static Models and Test Sets: Benchmarking the Potenti...
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1st workshop on Efficient Benchmarking in NLP (NLP Power)
作者: Ahuja, Kabir Dandapat, Sandipan Sitaram, Sunayana Choudhury, Monojit Microsoft Res Bengaluru India Microsoft R&D Hyderabad India
Although recent Massively Multilingual language Models (MMLMs) like mBERT and XLMR support around 100 languages, most existing multilingual NLP benchmarks provide evaluation data in only a handful of these languages w... 详细信息
来源: 评论