Serious processing for frivolous purpose: a chatbot using web-mining supported affect analysis and pun generation

Authors:
Rafal Rzepka;Wenhan Shi;Michal Ptaszynski;Pawel Dybala;Shinsuke Higuchi;Kenji Araki
Affiliations:
Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan
Venue:
Proceedings of the 14th international conference on Intelligent user interfaces
Year:
2009

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A casual conversation system using modality and word associations retrieved from the web

EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing

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Abstract

By our demonstration we want to introduce our achievements in combining different purpose algorithms to build a chatbot which is able to keep a conversation on any topic. It uses snippets of Internet search results to stay within a context, Nakamura's Emotion Dictionary to detect an emotional load existence and categorization of a textual utterance and a causal consequences retrieval algorithm when emotive features are not found. It is also able to detect a possibility to make a pun by analyzing the input sentence and create one if timing is adequate.