"Language Is the Skin of My Thought": Integrating Wikipedia and AI to Support a Guillotine Player
|"Language is the skin of my thought": Integrating wikipedia and AI to support a guillotine player|
|Author(s)||Pasquale Lops, Pierpaolo Basile, Marco Gemmis, Giovanni Semeraro|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Background knowledge, Human being, Infusion process, Knowledge sources, Language games, Natural languages, Reasoning mechanism, Wikipedia, Systems analysis, Artificial intelligence)|
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"Language is the skin of my thought": Integrating wikipedia and AI to support a guillotine player is a 2009 conference paper written in English by Pasquale Lops, Pierpaolo Basile, Marco Gemmis, Giovanni Semeraro and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
This paper describes OTTHO (On the Tip of my THOught), a system designed for solving a language game, called Guillotine, which demands knowledge covering a broad range of topics, such as movies, politics, literature, history, proverbs, and popular culture. The rule of the game is simple: the player observes five words, generally unrelated to each other, and in one minute she has to provide a sixth word, semantically connected to the others. The system exploits several knowledge sources, such as a dictionary, a set of proverbs, and Wikipedia to realize a knowledge infusion process. The paper describes the process of modeling these sources and the reasoning mechanism to find the solution of the game. The main motivation for designing an artificial player for Guillotine is the challenge of providing the machine with the cultural and linguistic background knowledge which makes it similar to a human being, with the ability of interpreting natural language documents and reasoning on their content. Experiments carried out showed promising results. Our feeling is that the presented approach has a great potential for other more practical applications besides solving a language game.
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