Lorenzo Gatti

Heady-Lines: A Creative Generator Of Newspaper Headlines

In this paper we present Heady-Lines, a creative system that produces news headlines based on well-known expressions. The algorithm is composed of several steps that identify keywords from a news article, select an appropriate well-known expression and modify it to produce a novel one, using state-of-the-art natural language processing and linguistic creativity techniques. The system has a simple web-interface that abstracts the technical details from users and lets them concentrate on the task of producing creative headlines.

Mocking Ads through Mobile Web Services

The need for creativity is ubiquitous, and mobile devices connected to Web services can help us. Linguistic creativity is widely used in advertisements to surprise us, to get our attention, and to stick concepts in our memory. However, creativity can also be used as a defense. When we walk in the street, we are overwhelmed by messages that try to get our attention with any persuasive device at hand. As messages get ever more aggressive, often our basic cognitive defenses—trying not to perceive those messages—are not sufficient. One advanced defensive technique is based on transforming the perceived message into something different (for instance, making use of irony or hyperbole) from what was originally meant in the message. In this article, we describe an implemented application for smartphones, which creatively modifies the linguistic expression in a virtual copy of a poster encountered on the street. The mobile system is inspired by the subvertising practice of countercultural art.

Automatic Generation of Lyrics Parodies

Altering the lyrics of famous songs is a common creative and communicative act, often used for purposes that go beyond simple amusement, such as the creation of companion music for advertisements. In this case, the altered song commonly refers to the advertised product or idea. Here we present a system that can automatically reproduce this process: it starts from a novel text, i.e. the daily news, identifies the key concepts therein contained, expands them and then uses this word cloud to replace some of the words in a song, obeying lexical, metrical and rhyming constraints. The new song is then created by merging these new lyrics, sung by a speech synthesizer, with the original backing music. Our evaluation shows that songs created by the system increase the recall of the news they were created from.