Daigo Sugihara

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ii Introduction A long-standing problem in Natural Language Processing has been a lack of large-scale knowledge for computers. The emergence of the Web and the rapid increase of information on the Web brought us to what could be called the " information explosion era, " and drastically changed the environment of NLP. The Web is not only a marvelous target(More)
The rapid spread of electronic health records raised an interest to large-scale information extraction from clinical texts. Considering such a background, we are developing a method that can extract adverse drug event and effect (adverse–effect) relations from massive clinical records. Adverse–effect relations share some features with relations proposed in(More)
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