Punny Captions: Witty Wordplay in Image Descriptions

04/26/2017
by   Arjun Chandrasekaran, et al.
0

Wit is a quintessential form of rich inter-human interaction, and is often grounded in a specific situation (e.g., a comment in response to an event). In this work, we attempt to build computational models that can produce witty descriptions for a given image. Inspired by a cognitive account of humor appreciation, we employ linguistic wordplay, specifically puns. We compare our approach against meaningful baseline approaches via human studies. In a Turing test style evaluation, people find our model's description for an image to be wittier than a human's witty description 55

READ FULL TEXT

page 1

page 3

page 5

research
06/15/2020

On the use of human reference data for evaluating automatic image descriptions

Automatic image description systems are commonly trained and evaluated u...
research
07/22/2019

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions

We address the task of evaluating image description generation systems. ...
research
08/08/2019

Towards Generating Stylized Image Captions via Adversarial Training

While most image captioning aims to generate objective descriptions of i...
research
12/19/2012

When you talk about "Information processing" what actually do you have in mind?

"Information Processing" is a recently launched buzzword whose meaning i...
research
05/18/2023

Clarifying System 1 2 through the Common Model of Cognition

There have been increasing challenges to dual-system descriptions of Sys...
research
07/06/2017

Cross-linguistic differences and similarities in image descriptions

Automatic image description systems are commonly trained and evaluated o...
research
05/24/2022

Face2Text revisited: Improved data set and baseline results

Current image description generation models do not transfer well to the ...

Please sign up or login with your details

Forgot password? Click here to reset