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Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun
  Property Prediction

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction

24 October 2022
Yue Yang
Artemis Panagopoulou
Marianna Apidianaki
Mark Yatskar
Chris Callison-Burch
ArXivPDFHTML

Papers citing "Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction"

6 / 6 papers shown
Title
Understanding the Cognitive Complexity in Language Elicited by Product
  Images
Understanding the Cognitive Complexity in Language Elicited by Product Images
Yan-Ying Chen
Shabnam Hakimi
Monica P Van
Francine Chen
Matthew K. Hong
M. Klenk
Charlene C. Wu
12
0
0
25 Sep 2024
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for
  Nouns' Semantic Properties and their Prototypicality
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality
Marianna Apidianaki
Aina Garí Soler
28
18
0
12 Oct 2021
Transferring Knowledge from Vision to Language: How to Achieve it and
  how to Measure it?
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
Tobias Norlund
Lovisa Hagström
Richard Johansson
32
25
0
23 Sep 2021
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Tian Yun
Chen Sun
Ellie Pavlick
VLM
CoGe
32
30
0
21 Sep 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
406
2,576
0
03 Sep 2019
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
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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