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Transactions of the Japanese society for artificial intelligence
We present a new keyword extraction algorithm that applies to a single document without using a large corpus. Frequent terms are extracted first, then a set of co-occurrence between each term and the frequent terms, i.e., occurrences in the same sentences, is generated. The distribution of co-occurrence shows the importance of a term in the document as follows. If the probability distribution of co-occurrence between term a and the frequent terms is biased to a particular subset of the frequentdoi:10.1527/tjsai.17.217 fatcat:gecn3g6qjrbdpmgdll6sq2qbxq