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The seed selection procedure allows to harvest meaningful sentences from the input corpus, and to feed the classifier. Therefore, its outcome is two-fold: to build a representative training set and to extract relevant sentences for classification. We experimented multiple strategies as follows. They all share the same base constraint, i.e., each seed must contain a LU lexicalization.
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2019-11-10T12:34:11+01:00
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