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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41-50 订阅
排序:
Effective Knowledge graph Embedding with Quaternion Convolutional Networks  13th
Effective Knowledge Graph Embedding with Quaternion Convolut...
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13th International Conference on natural language processing and Chinese Computing
作者: Liang, Qiuyu Wang, Weihua Yu, Lie Bao, Feilong Inner Mongolia Univ Coll Comp Sci Hohhot Peoples R China Natl & Local Joint Engn Res Ctr Intelligent Infor Hohhot Peoples R China Inner Mongolia Key Lab Multilingual Artificial In Hohhot Peoples R China Natl Univ Def Technol Coll Comp Sci Changsha Peoples R China
Convolutional Neural Networks (CNNs) have demonstrated effectiveness in knowledge graph embedding, but existing CNN-based methods encounter two main challenges. firstly, CNN-based models with simple architectures are ... 详细信息
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Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large language Models  3
Fine-Tuning and Retrieval Augmented Generation for Question ...
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3rd Ukrainian natural language processing workshop, UNLP 2024
作者: Boros, Tiberiu Chivereanu, Radu Dumitrescu, Stefan Daniel Purcaru, Octavian Adobe Systems Bucharest Romania
We present our proposed system named Sherlock to UNLP 2024 Shared Task on Question Answering winning first place. We employ a mix of methods, from using automatically translated datasets to perform supervised fine-tun... 详细信息
来源: 评论
Evaluating Multilingual language Models for Cross-Lingual ESG Issue Identification  7
Evaluating Multilingual Language Models for Cross-Lingual ES...
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Joint workshop of the 7th Financial Technology and natural language processing, 5th Knowledge Discovery from Unstructured Data in Financial Services and 4th Economics and natural language processing, FinNLP-KDF-ECONLP 2024
作者: Li, Wing Yan Chersoni, Emmanuele Ngai, Cindy Sing Bik University of Sussex United Kingdom The Hong Kong Polytechnic University Hong Kong
The automation of information extraction from ESG reports has recently become a topic of increasing interest in the natural language processing community. While such information is highly relevant for socially respons... 详细信息
来源: 评论
Named Entities based on the BERT-BILSTM-ACRF Model Recognition Research  7
Named Entities Based on the BERT-BILSTM-ACRF Model Recogniti...
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7th International Conference on natural language processing and Information Retrieval (NLPIR)
作者: Wang, Jingdong Guo, Yongjia Northeast Elect Power Univ Jilin Jilin Peoples R China
As a crucial first step in the process of constructing knowledge graph, the accuracy of named entity recognition determines the construction effect of the final graph. However, at present, Chinese named entity recogni... 详细信息
来源: 评论
Moving from Tabular Knowledge graph Quality Assessment to RDF Triples Leveraging ChatGPT  3
Moving from Tabular Knowledge Graph Quality Assessment to RD...
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Joint of the 3rd International workshop One Knowledge graph Generation from Text and Data Quality Meets Machine Learning and Knowledge graphs, TEXT2KG 2024 and DQMLKG 2024
作者: Tuozzo, Gabriele Dipartimento di Informatica Unviersità degli Studi di Salerno SA Fisciano Italy
Data quality assessment is a multifaceted challenge involving various dimensions such as accessibility, interlinking, and completeness. These dimensions are domain-dependent and can be aggregated into a score between ... 详细信息
来源: 评论
Efficient Aspect-based Summarization of Climate Change Reports with Small language Models  3
Efficient Aspect-Based Summarization of Climate Change Repor...
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3rd workshop on NLP for Positive Impact, NLP4PI 2024, held in conjunction with the 2024 Conference on Empirical methods in natural language processing, EMNLP 2024
作者: Ghinassi, Iacopo Catalano, Leonardo Colella, Tommaso Queen Mary University of London London United Kingdom University of Pisa Pisa Italy
The use of natural language processing (NLP) for helping decision-makers with Climate Change action has recently been highlighted as a use case aligning with a broader drive towards NLP technologies for social good. I... 详细信息
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A framework for using event evolutionary graphs to rapidly assess the vulnerability of urban flood cascade compound disaster event networks
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JOURNAL OF HYDROLOGY 2024年 642卷
作者: Chen, Yilin Zhang, Lidan Chen, Xiaohong Sun Yat sen Univ Sch Civil Engn Zhuhai 519082 Peoples R China Southern Marine Sci & Engn Guangdong Lab Zhuhai Zhuhai 519082 Peoples R China Sun Yat sen Univ Guangdong Engn Technol Res Ctr Water Secur Regulat Guangzhou 510275 Peoples R China Sun Yat sen Univ Guangdong High Educ Inst Key Lab Water Cycle & Water Secur Southern China Guangzhou 510275 Peoples R China
Increasingly frequent flood disasters have caused great losses in recent years. Urban floods induce not only natural geological disasters but also social accidents. These disaster events, called urban flood cascade co... 详细信息
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A Survey on Extracting Knowledge graphs by Employing natural language processing  10
A Survey on Extracting Knowledge Graphs by Employing Natural...
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10th International Conference on Web Research, ICWR 2024
作者: Damirchi, Reza Saboohi, Hadi Amini, Amineh Islamic Azad University Karaj Branch Department of Computer Engineering Karaj Iran
We live in a world of information, and with the ever-increasing rate of content growth, we have no choice but to use machine-based solutions to manage, classify, and use it. However, the produced content is often unst... 详细信息
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Towards Building an RDF-based Deep Document Model and Retrieval Augmented Generation System for Enhanced Question Answering with Large language Models
Towards Building an RDF-based Deep Document Model and Retrie...
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ISWC 2024 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters-Demos-Industry 2024
作者: Jia, Runsong Zhang, Bowen Rodríguez-Méndez, Sergio J. Omran, Pouya G. Australian National University ACT Canberra2601 Australia QDX Technologies Pte. Ltd. 33A Pagoda Street Singapore059192 Singapore
Knowledge graphs (KGs) are crucial for Retrieval-Augmented Generation (RAG), but traditional methods have limitations in capturing details and querying academic KGs. The challenges lie in identifying the appropriate K... 详细信息
来源: 评论
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?  6
Team NLPeers at Chemotimelines 2024: Evaluation of two timel...
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6th workshop on Clinical natural language processing, ClinicalNLP 2024, held at NAACL 2024
作者: Bannour, Nesrine Andrew, Judith Jeyafreeda Vincent, Marc Université de Paris Imagine Institute Data Science Platform INSERM UMR 1163 ParisF-75015 France Paris France
This paper presents our two deep learning-based approaches to participate in subtask 1 of the Chemotimelines 2024 Shared task. The first uses a fine-tuning strategy on a relatively small general domain Masked language... 详细信息
来源: 评论