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Why Do Neural Language Models Still Need Commonsense Knowledge to Handle
  Semantic Variations in Question Answering?

Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?

1 September 2022
Sunjae Kwon
Cheongwoong Kang
Jiyeon Han
Jaesik Choi
ArXivPDFHTML

Papers citing "Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?"

3 / 3 papers shown
Title
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language
  Models
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz
German Rigau
VLM
35
21
0
07 Jan 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,586
0
03 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
1