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CS583, UIC

CS583, UIC

Using learnt patterns (Rilloff  and Wiebe, EMNLP-03)

A bootstrapping approach.

A high precision classifier is first used to automatically identify some subjective and objective sentences.

Two high precision (but low recall) classifiers are used,

a high precision subjective classifier

A high precision objective classifier

Based on manually collected lexical items, single words and n-grams, which are good subjective clues.

A set of patterns are then learned from these identified subjective and objective sentences.

Syntactic templates are provided to restrict the kinds of patterns to be discovered, e.g., <subj> passive-verb.

The learned patterns are then used to extract more subject and objective sentences (the process can be repeated).

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