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- W2358163977 abstract "Predicate is the most important component in a sentence,which greatly influences the identification of the semantic analysis.The performance of predicate identification and classification relies on lots of features,but how to combine those features is more important.This paper picks out 7 basic features and over 30 new features with different combinations.By adding useful combinations of the features into the baseline system with the maximum entropy classifier,it improves by 5% of F1-score(from 84.7% up to 89.8%)on predicate identification and also gains about 2% increase of F1-score(from 80.3% up to 82.1%)on predicate classification.It shows that those new features and the combination of them can much improve the performance of the system." @default.
- W2358163977 created "2016-06-24" @default.
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- W2358163977 date "2010-01-01" @default.
- W2358163977 modified "2023-09-23" @default.
- W2358163977 title "Feature engineering for predicate identification and classification in semantic analysis" @default.
- W2358163977 hasPublicationYear "2010" @default.
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