Advances in Artificial Intelligence: 23rd Canadian by Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.) PDF

By Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)

ISBN-10: 3642130593

ISBN-13: 9783642130595

This e-book constitutes the refereed lawsuits of the twenty third convention on synthetic Intelligence, Canadian AI 2010, held in Ottawa, Canada, in May/June 2010. The 22 revised complete papers offered including 26 revised brief papers, 12 papers from the graduate pupil symposium and the abstracts of three keynote displays have been rigorously reviewed and chosen from ninety submissions. The papers are equipped in topical sections on textual content type; textual content summarization and IR; reasoning and e-commerce; probabilistic desktop studying; neural networks and swarm optimization; desktop studying and information mining; typical language processing; textual content analytics; reasoning and making plans; e-commerce; semantic net; laptop studying; and information mining.

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Extra info for Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings

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208–215 (2003) 18. : Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 129– 136 (2003) 19. : Learning extraction patterns for subjective expressions. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2003), pp. 105–112 (2003) 20. : Sentiment analyzer: Extracting sentiments about a given topic using natural language processing techniques.

Punctuations (including “ ”) could be useful for determining the scope of speaker’s messages. This step prevents the system from coming up with a lot of useless tokens as features for our first-level classifier. Offensive Language Detection Using Multi-level Classification 21 probability of being a flame for each context. At this level we make a pattern for each of the entries that match a variety of word sequences (Replacing Somebody or Something wild cards for the above example). In this way each pattern could be matched with any sequence of words in which we have a few (not more than three) tokens in place of wild cards.

A Corpus Study of Evaluative and Speculative Language. In: Proceedings of 2nd ACL SIGdial Workshop on Discourse and Dialogue, Aalborg, Denmark (2001) 10. H. Razavi et al. 11. : Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (2008) ISBN13: 9781558605527 12. : Forbidden American English (1991) ISBN: 9780844251493 13. : Recognizing subjectivity: a case study in manual tagging. Natural Language Engineering 5(2) (1999) 14. : Development and use of a gold standard data set for subjectivity classifications.

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Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings by Dekang Lin (auth.), Atefeh Farzindar, Vlado Kešelj (eds.)


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