Semantic Relation Extraction Based on Semi-supervised Learning
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説明
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views—disjoint subsets of features. Specifically, a semantic relationship can be represented with some entity pairs or contexts surrounding the entity pairs. For example, the Person-Birthplace relation can be recognized from the entity pair view, such as (Albert Einstein, Ulm), (Pablo Picasso, Malaga) and so on. On the other side, this relation can be identified with some contexts, such as “A was born in B”, “B, the birth place of A” and so on.