Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

4 April 2016

Papers citing "Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks"

11 / 11 papers shown

Title
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase Wanying Ding Vinay K. Chaudhri Naren Chittar Krishna Konakanchi 41 7 0 05 Nov 2024
Evaluating Pretrained Transformer Models for Entity Linking in Task-Oriented Dialog Sai Muralidhar Jayanthi Varsha Embar Karthik Raghunathan 23 6 0 15 Dec 2021
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases Gerhard Weikum Luna Dong Simon Razniewski Fabian M. Suchanek 37 125 0 24 Sep 2020
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly? Genet Asefa Gesese Russa Biswas Mehwish Alam Harald Sack 30 82 0 28 Oct 2019
Learning Dense Representations for Entity Retrieval D. Gillick Sayali Kulkarni L. Lansing Alessandro Presta Jason Baldridge Eugene Ie Diego Garcia-Olano RALM 30 201 0 23 Sep 2019
Database Meets Deep Learning: Challenges and Opportunities Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Beng Chin Ooi K. Tan 16 147 0 21 Jun 2019
Embedding Multimodal Relational Data for Knowledge Base Completion Pouya Pezeshkpour Liyan Chen Sameer Singh 25 125 0 05 Sep 2018
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking Shikhar Murty Pat Verga Luke Vilnis Irena Radovanovic Andrew McCallum 32 91 0 13 Jul 2018
Neural Cross-Lingual Entity Linking Avirup Sil Gourab Kundu Radu Florian Wael Hamza 22 100 0 05 Dec 2017
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach Diego Moussallem Ricardo Usbeck Michael Röder A. N. Ngomo 14 44 0 17 Jul 2017
Deep Learning applied to NLP Marc Moreno Lopez Jugal Kalita VLM 29 161 0 09 Mar 2017