• Publications
  • Influence
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
ConceptNet is a freely available commonsense knowledge base and natural-language-processing tool-kit which supports many practical textual-reasoning tasks over real-world documents includingExpand
A model of textual affect sensing using real-world knowledge
This paper demonstrates a new approach, using large-scale real-world knowledge about the inherent affective nature of everyday situations to classify sentences into "basic" emotion categories, and suggests that the approach is robust enough to enable plausible affective text user interfaces. Expand
Social Network Profiles as Taste Performances
  • Hugo Liu
  • Psychology, Computer Science
  • J. Comput. Mediat. Commun.
  • 1 October 2007
This study examines how a social network profile's lists of interests can function as an expressive arena for taste performance and an interpretation of the taste semantics underlying the MySpace community-its motifs, paradigms, and demographic structures. Expand
Commonsense Reasoning in and Over Natural Language
It is concluded that the flexibility of natural language makes it a highly suitable representation for achieving practical inferences over text, such as context finding, inference chaining, and conceptual analogy. Expand
InterestMap : Harvesting Social Network Profiles for Recommendations
While most recommender systems continue to gather detailed models of their “users” within their particular application domain, they are, for the most part, oblivious to the larger context of theExpand
Visualizing the affective structure of a text document
An approach for graphically visualizing the affective structure of a text document using a unique textual affect sensing engine that leverages commonsense knowledge to classify text more reliably and comprehensively than can be achieved with keyword spotting methods alone. Expand
Teaching Machines about Everyday Life
This work describes three commonsense knowledge bases that take unconventional approaches to representing, acquiring, and reasoning with large quantities of commonsense Knowledge, each adopts a different approach. Expand
A Corpus-based Approach to Finding Happiness
This paper employs ‘linguistic ethnography’ to seek out where happiness lies in everyday lives by considering a corpus of blogposts from the LiveJournal community annotated with happy and sad moods, and concludes by offering a corpus-inspired livable recipe for happiness. Expand
Metafor: visualizing stories as code
A program editor, Metafor, is presented that dynamically converts a user's stories into program code, and in a user study, participants found it useful as a brainstorming tool. Expand
Makebelieve: using commonsense knowledge to generate stories
An interactive story generation agent that uses commonsense knowledge to generate short fictional texts from an initial seed story step supplied by the user, and the system’s representation of commonsense and techniques for fuzzy, creativity-driven inference are presented. Expand