Punny Captions: Witty Wordplay in Image Descriptions

Wit is a form of rich interaction that 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, in image descriptions. We develop two approaches which involve retrieving witty descriptions for a given image from a large corpus of sentences, or generating them via an encoder-decoder neural network architecture. We compare our approach against meaningful baseline approaches via human studies and show substantial improvements. We find that when a human is subject to similar constraints as the model regarding word usage and style, people vote the image descriptions generated by our model to be slightly wittier than human-written witty descriptions. Unsurprisingly, humans are almost always wittier than the model when they are free to choose the vocabulary, style, etc.Comment: NAACL 2018 (11 pages

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives

Over the past few years, adversarial training has become an extremely active research topic and has been successfully applied to various Artificial Intelligence (AI) domains. As a potentially crucial technique for the development of the next generation of emotional AI systems, we herein provide a comprehensive overview of the application of adversarial training to affective computing and sentiment analysis. Various representative adversarial training algorithms are explained and discussed accordingly, aimed at tackling diverse challenges associated with emotional AI systems. Further, we highlight a range of potential future research directions. We expect that this overview will help facilitate the development of adversarial training for affective computing and sentiment analysis in both the academic and industrial communities

The Black Frontier

As a nationalistic concept, frontier refers to America\u27s westward expansion, which was propelled in the nineteenth century by Manifest Destiny. Culturally, frontier promises even more: the creation of communities, the development of markets and states, the merging of peoples and cultures, and the promise of survival and persistence based on values of equality and democracy. Thousands of people left their homes in the East to pursue these ideals, including large communities of African Americans. However, African Americans, like many other cultural groups who moved westward, encountered struggles when they reached the new frontier. In some cases, they faced the same problems they left the East to escape. As new frontier territories and states were founded, new regional policies on slavery were also created. When the Treaty of Guadalupe Hidalgo (1848) ceded the territories of California and New Mexico to the United States, it outlawed slavery in the new territories. California entered the Union in 1850 as an officially free state. Before the Civil War, about one thousand slaves lived in California, which despite its status as a free state remained inconsistent in defining its anti-slavery laws. The state continued to label as property both fugitive slaves and those who entered the state with their masters before 1850. As a result, de facto slavery continued in California. The state had the largest number of bondservants west of Texas, working in fields and households

Minding the aesthetic: The place of the literary in education and research.

The article discusses the significance of aesthetic as a mode of cognition and means of social cohesion. It notes the relation of aesthetic knowledge with the perception or intuition, the emergence of such awareness into something durable and the response to the embodiment. It describes the evolution of aesthetic delight in the human species, the sense of sense of beauty arising on one's realization of the formal qualities of something, through the poem presented by the author on achievement

Empowering Expression for Users with Aphasia through Constrained Creativity

Creative activities allow people to express themselves in rich, nuanced ways. However, being creative does not always come easily. For example, people with speech and language impairments, such as aphasia, face challenges in creative activities that involve language. In this paper, we explore the concept of constrained creativity as a way of addressing this challenge and enabling creative writing. We report an app, MakeWrite, that supports the constrained creation of digital texts through automated redaction. The app was co-designed with and for people with aphasia and was subsequently explored in a workshop with a group of people with aphasia. Participants were not only successful in crafting novel language, but, importantly, self-reported that the app was crucial in enabling them to do so. We refect on the potential of technology-supported constrained creativity as a means of empowering expression amongst users with diverse needs