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Pretrained Transformers for Simple Question Answering over Knowledge
  Graphs

Pretrained Transformers for Simple Question Answering over Knowledge Graphs

31 January 2020
Denis Lukovnikov
Asja Fischer
Jens Lehmann
    GNN
    AI4MH
ArXivPDFHTML

Papers citing "Pretrained Transformers for Simple Question Answering over Knowledge Graphs"

5 / 5 papers shown
Title
Core Building Blocks: Next Gen Geo Spatial GPT Application
Core Building Blocks: Next Gen Geo Spatial GPT Application
Ashley Fernandez
Swaraj Dube
24
5
0
17 Oct 2023
Investigating the Role of Feed-Forward Networks in Transformers Using
  Parallel Attention and Feed-Forward Net Design
Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design
Shashank Sonkar
Richard G. Baraniuk
19
3
0
22 May 2023
Knowledge Graph Question Answering via SPARQL Silhouette Generation
Knowledge Graph Question Answering via SPARQL Silhouette Generation
Sukannya Purkayastha
Saswati Dana
Dinesh Garg
Dinesh Khandelwal
G P Shrivatsa Bhargav
38
5
0
06 Sep 2021
Transformer-Based Models for Question Answering on COVID19
Transformer-Based Models for Question Answering on COVID19
Hillary Ngai
Yoona Park
John Chen
Mahboobeh Parsapoor
OOD
24
21
0
16 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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