AI 2002: Advances in Artificial Intelligence: 15th by Debbie Richards, Kathrin Boettger, Oscar Aguilera (auth.),
By Debbie Richards, Kathrin Boettger, Oscar Aguilera (auth.), Bob McKay, John Slaney (eds.)
This e-book constitutes the refereed lawsuits of the fifteenth Australian Joint convention on synthetic Intelligence, AI 2002, held in Canberra, Australia in December 2002.
The sixty two revised complete papers and 12 posters awarded have been rigorously reviewed and chosen from 117 submissions. The papers are geared up in topical sections on normal language and data retrieval, wisdom illustration and reasoning, deduction, studying conception, brokers, clever platforms. Bayesian reasoning and class, evolutionary algorithms, neural networks, reinforcement studying, constraints and scheduling, neural community purposes, satisfiability reasoning, computer studying purposes, fuzzy reasoning, and case-based reasoning.
Read or Download AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2–6, 2002 Proceedings PDF
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Extra resources for AI 2002: Advances in Artificial Intelligence: 15th Australian Joint Conference on Artificial Intelligence Canberra, Australia, December 2–6, 2002 Proceedings
Who invent tv ? who forge tv ? who invent video ? who invent telly ? who forge television ? who forge video ? who forge telly ? who fabricate television ? who fabricate tv ? who fabricate video ? the document retrieval process. In this approach, the TFIDF scores will be weighted by the similarity scores, yielding the following equation instead of Equation 5 (recall that the 0-th paraphrase is the lemmatized query) N DS k,i = PF(Pi ) × sim(li,j , l0,j ) × tfidf(Dk , li,j ) (7) j=1 5 Sample Results Table 1 shows the top 10 paraphrases (in ranked order of their score) generated by our system for two sample queries using the three information sources (the lemmatized query is listed first and shown in italics).
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12. 13. 14. 15. 16. 17. 18. : Evaluating combinations of ranked lists and visualizations of inter-document similarity. Information Processing and Management. : Automated Learning of Decision Rules for Text Categorization. ACM Transactions on Information Systems. : Term Extraction from Unrestricted Text. fi/doc/nptool/ term- extraction. : Natural Language Analysis for Semantic Document Modeling. Data & Knowledge Engineering. : An Efficient Context-Free Parsing Algorithm. CACM. : A Document Classification Method by Using Field Association Words.