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Entity Resolution (ER) is the problem of semi-automatically determining when two entities refer to the same underlying entity, with applications ranging from healthcare to e-commerce.
Learning to match and cluster large high-dimensional data sets for data integration
William W Cohen and Jacob Richman · 2002
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Interactive deduplication using active learning
Sunita Sarawagi and Anuradha Bhamidipaty · 2002
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Adaptive duplicate detection using learnable string similarity measures
Mikhail Bilenko and Raymond J Mooney · 2003
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A comparison of string distance metrics for name-matching tasks
William W Cohen, Pradeep Ravikumar, Stephen E Fienberg, et al · 2003
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Constraint-based entity matching
Warren Shen, Xin Li, and A Doan · 2005
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Entity resolution in graphs
Indrajit Bhattacharya and Lise Getoor · 2006
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Duplicate record detection: A survey
Ahmed K Elmagarmid, Panagiotis G Ipeirotis, and Vassilios S Verykios · 2006
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Entity resolution with markov logic
Parag Singla and Pedro Domingos · 2006
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Febrl: a freely available record linkage system with a graphical user interfac
Peter Christen · 2008
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Reasoning about record matching rules
Wenfei Fan, Xibei Jia, Jianzhong Li, and Shuai Ma · 2009
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Silk-a link discovery framework for the web of data
Julius Volz, Christian Bizer, Martin Gaedke, and Georgi Kobilarov · 2009
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Evaluation of entity resolution approaches on real-world match problems, 09 2010
Hanna Köpcke, Andreas Thor, and Erhard Rahm · 2010
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Entity resolution and information quality
John R Talburt · 2011
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Data matching: concepts and techniques for record linkage, entity resolution, and duplicate detection. 2012
P Christen · 2012
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Entity resolution: theory, practice & open challenges
Lise Getoor and Ashwin Machanavajjhala · 2012
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Entity resolution: theory, practice & open challenges
Lise Getoor and Ashwin Machanavajjhala · 2012
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Entity resolution for big data
Lise Getoor and Ashwin Machanavajjhala · 2013
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An unsupervised algorithm for learning blocking schemes
Mayank Kejriwal and Daniel P Miranker · 2013
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Entity resolution in the web of data
Vassilis Christophides, Vasilis Efthymiou, and Kostas Stefanidis · 2015
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An ensemble blocking scheme for entity resolution of large and sparse datasets
Janani Balaji, Faizan Javed, Mayank Kejriwal, Chris Min, Sam Sander, and Ozgur Ozturk · 2016
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Entity resolution using convolutional neural network
Ram Deepak Gottapu, Cihan Dagli, and Bharami Ali · 2016
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Populating a linked data entity name system: A big data solution to unsupervised instance matching
Mayank Kejriwal · 2016
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Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq Joty, Mourad Ouzzani, and Nan Tang · 2017
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Deep learning based approach for entity resolution in databases
Nihel Kooli, Robin Allesiardo, and Erwan Pigneul · 2018
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Deep learning for entity matching: A design space exploration
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, and Vijay Raghavendra · 2018
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Interpreting deep learning models for entity resolution: an experience report using lime
Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, and Divesh Srivastava · 2019
Cited alongside, same era.
Unsupervised product entity resolution using graph representation learning
Mozhdeh Gheini and Mayank Kejriwal · 2019
Cited alongside, same era.
Low-resource deep entity resolution with transfer and active learning
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, and Lucian Popa · 2019
Cited alongside, same era.
Deep sequence-to-sequence entity matching for heterogeneous entity resolution
Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, and Hao Kong · 2019
Cited alongside, same era.
A review of unsupervised and semi-supervised blocking methods for record linkage
Kevin O’Hare, Anna Jurek-Loughrey, and Cassio de Campos · 2019
Cited alongside, same era.
Is it a platform? is it a search engine? it’s chatgpt! the european liability regime for large language models
Beatriz Botero Arcila · 2023
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Just tell me: Prompt engineering in business process management
Kiran Busch, Alexander Rochlitzer, Diana Sola, and Henrik Leopold · 2023
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Hallucination detection: Robustly discerning reliable answers in large language models
Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, and Yanghua Xiao · 2023
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Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices
Sabit Ekin · 2023
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Talk like a graph: Encoding graphs for large language models
Bahare Fatemi, Jonathan Halcrow, and Bryan Perozzi · 2023
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The wdc training dataset and gold standard for large-scale product matching, 2019
Anna Primpeli, Ralph Peeters, and Christian Bizer · 2019
Cited alongside, same era.
Auto-em: End-to-end fuzzy entity-matching using pre-trained deep models and transfer learning
Chen Zhao and Yeye He · 2019
Cited alongside, same era.
An overview of end-to-end entity resolution for big data
Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, and Kostas Stefanidis · 2020
Cited alongside, same era.
Entity resolution for maintaining electronic medical record using oyster
Tanya Gupta and Varad Deshpande · 2020
Cited alongside, same era.
A survey on blocking technology of entity resolution
Bo-Han Li, Yi Liu, An-Man Zhang, Wen-Huan Wang, and Shuo Wan · 2020
Cited alongside, same era.
Deep entity matching with pre-trained language models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, and Wang-Chiew Tan · 2020
Cited alongside, same era.
Three-dimensional entity resolution with jedai
George Papadakis, George Mandilaras, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos, George Giannakopoulos, Sonia Bergamaschi, Themis Palpanas, and Manolis Koubarakis · 2020
Cited alongside, same era.
Prompt engineering with chatgpt: a guide for academic writers
Louie Giray · 2023
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Marzena Karpinska and Mohit Iyyer · 2023
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Named entity resolution in personal knowledge graphs
Mayank Kejriwal · 2023
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A culturally sensitive test to evaluate nuanced gpt hallucination
Timothy R. McIntosh, Tong Liu, Teo Susnjak, Paul Watters, Alex Ng, and Malka N. Halgamuge · 2023
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Prompt engineering as an important emerging skill for medical professionals: tutorial
Bertalan Meskó · 2023
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Entity matching using large language models, 2023
Ralph Peeters and Christian Bizer · 2023
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Maciej P Polak and Dane Morgan · 2023
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Promptie-information extraction with prompt-engineering and large language models
Sigurd Schacht, Sudarshan Kamath Barkur, and Carsten Lanquillon · 2023
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What does clip know about a red circle? visual prompt engineering for vlms
Aleksandar Shtedritski, Christian Rupprecht, and Andrea Vedaldi · 2023
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Comparing traditional and llm-based search for consumer choice: A randomized experiment
Sofia Eleni Spatharioti, David M Rothschild, Daniel G Goldstein, and Jake M Hofman · 2023
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Gemini: A family of highly capable multimodal models, 2023
Gemini Team · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Prompt engineering for healthcare: Methodologies and applications
Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, et al · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt · 2023
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Codekgc: Code language model for generative knowledge graph construction
Zhen Bi, Jing Chen, Yinuo Jiang, Feiyu Xiong, Wei Guo, Huajun Chen, and Ningyu Zhang · 2024
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Scaling use-case based shopping using llms
Sachin Farfade, Sachin Vernekar, Vineet Chaoji, and Rajdeep Mukherjee · 2024
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Improving large language models for clinical named entity recognition via prompt engineering
Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, et al · 2024
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Gpt-4 technical report, 2024
OpenAI · 2024
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Llms in e-commerce: a comparative analysis of gpt and llama models in product review evaluation
Konstantinos I Roumeliotis, Nikolaos D Tselikas, and Dimitrios K Nasiopoulos · 2024
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