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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1-10 订阅
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Textgraphs 2021 - graph-based methods for natural language processing, proceedings of the 15th workshop - in conjunction with the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2021
TextGraphs 2021 - Graph-Based Methods for Natural Language P...
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15th workshop on graph-based methods for natural language processing, Textgraphs 2021
The proceedings contain 20 papers. The topics discussed include: bootstrapping large-scale fine-grained contextual advertising classifier from Wikipedia;modeling graph structure via relative position for text generati...
来源: 评论
A Survey of the Application of Neural Networks to Event Extraction
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Tsinghua Science and Technology 2025年 第2期30卷 748-768页
作者: Jianye Xie Yulan Zhang Huaizhen Kou Xiaoran Zhao Zhikang Feng Lekang Song Weiyi Zhong College of Computer Science and Technology China University of Petroleum(East China)Qingdao 266000China Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261000China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210000China School of Computer Science Qufu Normal UniversityRizhao 276800China
Event extraction is an important part of natural language information extraction,and it’s widely employed in other natural language processing tasks including question answering and machine reading ***,there is a lac... 详细信息
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Knowledge graph Completion With Pattern-based methods
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IEEE ACCESS 2025年 13卷 5815-5831页
作者: Sabet, Maryam Pajoohan, Mohammadreza Moosavi, Mohammad Reza Yazd Univ Comp Engn Dept Yazd *** Iran Shiraz Univ Sch Elect & Comp Engn Dept Comp Sci & Engn & IT Shiraz *** Iran
Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG reasoning, aiming at predicting th... 详细信息
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Emotion Classification With Visibility graphs
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IEEE SIGNAL processing LETTERS 2025年 32卷 2055-2059页
作者: Simsek, Ecem Topcu, Atakan Koc, Emirhan Saritas, Emine Ulku Koc, Aykut Bilkent Univ Dept Elect & Elect Engn TR-06800 Ankara Turkiye Bilkent Univ UMRAM TR-06800 Ankara Turkiye
Transformers have gained prominence in natural language processing due to their representational capabilities and performances. Transformers process natural language as a sequence on finite context windows;however, gl... 详细信息
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proceedings of Textgraphs: The 1st workshop on graph-based methods for natural language processing
Proceedings of TextGraphs: The 1st Workshop on Graph-Based M...
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1st workshop on graph-based Algorithms for natural language processing, Textgraphs 2006 at Human language Technologies
The proceedings contain 15 papers. The topics discussed include: a graphical framework for contextual search and name disambiguation in email;graph based semi-supervised approach for information extraction;graph-based...
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COLING 2020 - graph-based methods for natural language processing - proceedings of the 14th workshop, Textgraphs 2020
COLING 2020 - Graph-Based Methods for Natural Language Proce...
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14th workshop on graph-based methods for natural language processing, Textgraphs 2020, in conjunction with the 28th International Conference on Computational Linguistics, COLING 2020
The proceedings contain 14 papers. The topics discussed include: a survey of embedding models of entities and relationships for knowledge graph completion;graph-based aspect representation learning for entity resoluti...
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proceedings of Textgraphs@ACL 2017: The 11th workshop on graph-based methods for natural language processing
Proceedings of TextGraphs@ACL 2017: The 11th Workshop on Gra...
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11th workshop on graph-based methods for natural language processing, Textgraphs 2017, in conjunction with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
The proceedings contain 10 papers. The topics discussed include: adapting predominant and novel sense discovery algorithms for identifying corpus-specific sense differences;merging knowledge bases in different languag...
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HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge graph for Medical Error Correction  6
HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble wi...
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6th workshop on Clinical natural language processing, ClinicalNLP 2024, held at NAACL 2024
作者: Valiev, Airat Tutubalina, Elena HSE University Moscow Russia Kazan State University Kazan Russia
This paper presents our LLM-based system designed for the MEDIQA-CORR @ NAACLClinicalNLP 2024 Shared Task 3, focusing on medical error detection and correction in medical records. Our approach consists of three key co... 详细信息
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Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical natural language processing Applications  5
Reducing Knowledge Noise for Improved Semantic Analysis in B...
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5th workshop on Clinical natural language processing, ClinicalNLP 2023. held at ACL 2023
作者: Naseem, Usman Thapa, Surendrabikram Zhang, Qi Hu, Liang Masood, Anum Nasim, Mehwish University of Sydney Australia Virginia Tech United States Tongji University China DeepBlue Academy of Sciences China Norwegian University of Science and Technology Norway University of Western Australia Australia Flinders University Australia
graph-based techniques have gained traction for representing and analyzing data in various natural language processing (NLP) tasks. Knowledge graph-based language representation models have shown promising results in ... 详细信息
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Tibetan Dependency Parsing with graph Convolutional Neural Networks  1
Tibetan Dependency Parsing with Graph Convolutional Neural N...
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1st workshop on Ancient language processing, ALP 2023
作者: An, Bo Institute of Ethnology and Anthropology Chinese Academy of Social Sciences Building 6 Zhongguancun Nandajie 27 Beijing China
Dependency parsing is a syntactic analysis method to analyze the dependency relationships between words in a sentence. The interconnection between words through dependency relationships is typical graph data. Traditio... 详细信息
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