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Why Do Masked Neural Language Models Still Need Common Sense Knowledge?

Why Do Masked Neural Language Models Still Need Common Sense Knowledge?

8 November 2019
Sunjae Kwon
Cheongwoong Kang
Jiyeon Han
Jaesik Choi
ArXiv (abs)PDFHTML

Papers citing "Why Do Masked Neural Language Models Still Need Common Sense Knowledge?"

8 / 8 papers shown
Shades of meaning: Uncovering the geometry of ambiguous word
  representations through contextualised language models
Shades of meaning: Uncovering the geometry of ambiguous word representations through contextualised language models
Benedetta Cevoli
C. Watkins
Yang Gao
K. Rastle
248
5
0
26 Apr 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLMLRMLM&MA
372
140
0
20 Mar 2023
A Survey on Knowledge-Enhanced Pre-trained Language Models
A Survey on Knowledge-Enhanced Pre-trained Language Models
Chaoqi Zhen
Yanlei Shang
Xiangyu Liu
Yifei Li
Yong Chen
Dell Zhang
VLMKELM
238
3
0
27 Dec 2022
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and
  Contextualized Masked Language Model Score
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model ScoreConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sunjae Kwon
Zonghai Yao
H. Jordan
David Levy
Brian Corner
Hong-ye Yu
184
22
0
12 Oct 2022
ExBERT: An External Knowledge Enhanced BERT for Natural Language
  Inference
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
Amit Gajbhiye
Noura Al Moubayed
S. Bradley
140
12
0
03 Aug 2021
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense
  Reasoning Tasks
Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning TasksConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Lisa Bauer
Mohit Bansal
149
20
0
20 Apr 2021
AutoPrompt: Eliciting Knowledge from Language Models with Automatically
  Generated Prompts
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Taylor Shin
Yasaman Razeghi
Robert L Logan IV
Eric Wallace
Sameer Singh
KELM
420
480
0
29 Oct 2020
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense AxiomsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Mark A. Lemley
Jay Pujara
Xiang Ren
ReLM
484
39
0
02 May 2020
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