Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets

doi 10.18653/v1/n18-1199
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Association for Computational Linguistics

Related search

Index of Words and Topics in Volume 11

Meta
LinguisticsPhilosophyLanguage
1967English

Index of Words and Topics in Volume 22

Meta
LinguisticsPhilosophyLanguage
1977English

Index of Words and Topics in Volume 21

Meta
LinguisticsPhilosophyLanguage
1976English

Index of Words and Topics in Volume 16

Meta
LinguisticsPhilosophyLanguage
1971English

Detecting and Quantifying Causal Associations in Large Nonlinear Time Series Datasets

Science advances
Multidisciplinary
2019English

Translating Topics to Words for Image Annotation

2007English

Visual Images Interpretive Strategies in Multimodal Texts

Journal of Language Teaching and Research
2013English

Defining a Conceptual Topography of Word Concreteness: Clustering Properties of Emotion, Sensation, and Magnitude Among 750 English Words

Frontiers in Psychology
Psychology
2017English

Discovery of Collocation Patterns: From Visual Words to Visual Phrases

2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy