Entity Linking Meets Deep Learning: Techniques and Solutions

Entity Linking Meets Deep Learning: Techniques and Solutions

26 September 2021

Xiaojie Yuan

Papers citing "Entity Linking Meets Deep Learning: Techniques and Solutions"

8 / 8 papers shown

Title
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies Komal Gilani Marlo Verket Christof Peters Michel Dumontier Hans-Peter Brunner-La Rocca V. Urovi 32 0 0 07 May 2025
Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions Aidan Hogan Xin Luna Dong Denny Vrandečić Gerhard Weikum 43 1 0 12 Jan 2025
KG-RAG: Bridging the Gap Between Knowledge and Creativity Diego Sanmartin RALM 37 35 0 20 May 2024
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases Yiheng Shu Zhiwei Yu Yuhan Li Börje F. Karlsson Tingting Ma Yuzhong Qu Chin-Yew Lin 17 68 0 24 Oct 2022
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata M. Ravi Kuldeep Singh I. Mulang' Saeedeh Shekarpour Johannes Hoffart Jens Lehmann KELM 21 32 0 25 Jan 2021
DeepType: Multilingual Entity Linking by Neural Type System Evolution Jonathan Raiman O. Raiman BDL HAI 112 183 0 03 Feb 2018
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation Ikuya Yamada Hiroyuki Shindo Hideaki Takeda Yoshiyasu Takefuji 105 317 0 06 Jan 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013