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Line Classification – step 2
lContextual classification
¡Predications of step 1 provides context
le.g. title lines, author line, affiliation line…
¡Context among lines can be used as features
le.g. title lines followed by author line
¡Combining contextual features and other features, then trained iteratively
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The predicted tags for pervious and next lines are also good indicators of the classificaion. e.g., title lines usually are followed by author line. Making use of such contextual information among lines will increase the performance