KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs

MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts

Original

Sunil Mohan and Donghui Li. 2019 · 1902

Earlier work this paper cites.

Deep Entity Matching with Pre-Trained Language Models

Original

Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, and Wang-Chiew Tan. 2020 · 2004

Earlier work this paper cites.

Mapmerge: Correlating independent schema mappings

Bogdan Alexe, Mauricio Hernández, Lucian Popa, and Wang-Chiew Tan. 2010 · 2010

Earlier work this paper cites.

Using semantic similarity for schema matching of semi-structured and linked data

Mohamed Kettouch, Cristina Luca, Mike Hobbs, and Sergiu Dascalu. 2017 · 2017

Earlier work this paper cites.

BigGorilla: An Open-Source Ecosystem for Data Preparation and Integration

Chen Chen, Behzad Golshan, Alon Halevy, Wang-Chiew Tan, and AnHai Doan. 2018 · 2018

Earlier work this paper cites.

DeepER – Deep Entity Resolution

Original

Muhammad Ebraheem, Saravanan Thirumuruganathan, Shafiq Joty, Mourad Ouzzani, and Nan Tang. 2018 · 2018

Earlier work this paper cites.

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 · 2018

Earlier work this paper cites.

Reuse and Adaptation for Entity Resolution through Transfer Learning

Original

Saravanan Thirumuruganathan, Shameem A. Puthiya Parambath, Mourad Ouzzani, Nan Tang, and Shafiq Joty. 2018 · 2018

Earlier work this paper cites.

Meta-mappings for schema mapping reuse

Paolo Atzeni, Luigi Bellomarini, Paolo Papotti, and Riccardo Torlone. 2019 · 2019

Earlier work this paper cites.

Low-resource deep entity resolution with transfer and active learning

Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, and Lucian Popa. 2019 · 2019

Earlier work this paper cites.

Bert: Pre-training of deep bidirectional transformers for language understanding

Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019

Earlier work this paper cites.

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 · 2019

Earlier work this paper cites.

Entity matching with transformer architectures-a step forward in data integration

Ursin Brunner and Kurt Stockinger. 2020 · 2020

Earlier work this paper cites.

Retrieval-augmented generation for knowledge-intensive nlp tasks

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020

Earlier work this paper cites.

Autoblock: A hands-off blocking framework for entity matching

Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, and Davd Page. 2020 · 2020

Cited alongside, same era.

Neural networks for entity matching: A survey

Nils Barlaug and Jon Atle Gulla. 2021 · 2021

Cited alongside, same era.

SMAT: An Attention-Based Deep Learning Solution to the Automation of Schema Matching

Jing Zhang, Bonggun Shin, Jinho D. Choi, and Joyce C. Ho. 2021 · 2021

Cited alongside, same era.

Can foundation models wrangle your data?

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Cited alongside, same era.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022

Cited alongside, same era.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

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Original

Fangyuan Xu, Weijia Shi, and Eunsol Choi. 2023 · 2023

Later among the works it cites.

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Original

Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, and Dong Yu. 2023 · 2023

Later among the works it cites.

Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis

Alexandros Zeakis, George Papadakis, Dimitrios Skoutas, and Manolis Koubarakis. 2023 · 2023

Later among the works it cites.

Schema Matching using Pre-Trained Language Models

Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, and Jignesh M. Patel. 2023b · 2023

Later among the works it cites.

The power of noise: Redefining retrieval for rag systems

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