Teacher:In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Teacher: Now, understand the problem? Solve this instance: In this work, we explore a genre of puzzles ("image riddles") which involves a set of images and a question. An-<lb>swering these puzzles require both capabilities involving vi-<lb>sual detection (including object, activity recognition) and,<lb>knowledge-based or commonsense reasoning. We compile<lb>a dataset of over 3k riddles where each riddle consists of 4<lb>images and a groundtruth answer. The annotations are validated using crowd-sourced evaluation. We also define an<lb>automatic evaluation metric to track future progress. Our<lb>task bears similarity with the commonly known IQ tasks<lb>such as analogy solving, sequence filling that are often used<lb>to test intelligence. We develop a Probabilistic Reasoning-based approach<lb>that utilizes probabilistic commonsense knowledge to an-<lb>swer these riddles with a reasonable accuracy. We demon-<lb>strate the results of our approach using both automatic and<lb>human evaluations. Our approach achieves some promising<lb>results for these riddles and provides a strong baseline for future attempts. We make the entire dataset and related ma-<lb>terials publicly available to the community in ImageRiddle<lb>Website (http://bit.ly/22f9Ala).
Student:
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic