Matumoto, Y., Kurohashi, S., Yamaji, O., Taeki, Y., and Nagao, M. Japanese morphological analyzing system: Juman. Kyoto University and Nara Institute of Science and Technology, 1997. Home/Search Document Not in Database Summary Related Articles Check |
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A Summarization System With Categorization of Document.. - Nobata, Sekine.. (Correct)
....are more likely to be relevant. The target words are nouns (excluding temporal or adverbial nouns) and the system calculates the tf idf score for each of these nouns in a sentence, The total score indicates the significance of the sentence. The word segmentation is done using Juman ver. 3. 61 [3]. When a set of documents is given in advance, our system counts the term frequency (tf) and the document frequency (df) for each word w, then calculates the tf idf score as follows: tf idf(w) tf(w) log DN df(w) where DN is the number of given documents. We used articles that appeared in ....
S. Kurohashi and M. Nagao. Japanese Morphological Analyzing System: JUMAN version 3.61. Kyoto University, 1999.
A Maximum Entropy Approach to Named Entity Recognition - Borthwick (1999) (11 citations) (Correct)
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Matumoto, Y., Kurohashi, S., Yamaji, O., Taeki, Y., and Nagao, M. Japanese morphological analyzing system: Juman. Kyoto University and Nara Institute of Science and Technology, 1997.
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