We report on a set of experiments in text mining, specifically, finding semantic patterns given only a few keywords. The experiments employ the Counter-training framework for discovery of semantic knowledge from raw text in a weakly supervised fashion. The experiments indicate that the framework is suitable for efficient acquisition of semantic word classes and collocation patterns, which may be used for Information Extraction.
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- Mining the Semantics of Text Via Counter-Training
- Springer Berlin Heidelberg