Definition: 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.
Input: The production of color language is essential for grounded language generation. Color descriptions have many challenging properties: they can be vague, compositionally complex, and denotationally rich. We present an effective approach to generating color descriptions using recurrent neural networks and a Fouriertransformed color representation. Our model outperforms previous work on a conditional language modeling task over a large corpus of naturalistic color descriptions. In addition, probing the model’s output reveals that it can accurately produce not only basic color terms but also descriptors with non-convex denotations (“greenish”), bare modifiers (“bright”, “dull”), and compositional phrases (“faded teal”) not seen in training.

Learning to Generate Compositional Color Descriptions