The integration of compounds in a parsing procedure has been shown to improve accuracy in an artificial context where such expressions have been perfectly preidentified. This article evaluates two empirical strategies to incorporate such multiword units in a real PCFG-LA parsing context: (1) the use of a grammar including compound recognition, thanks to specialized annotation schemes for compounds; (2) the use of a state-of-the-art discriminative compound prerecognizer integrating endogenous and exogenous features. We show how these two strategies can be combined with word lattices representing possible lexical analyses generated by the recognizer. The proposed systems display significant gains in terms of multiword recognition and often in terms of standard parsing accuracy. Moreover, we show through an Oracle analysis that this combined strategy opens promising new research directions.
ACM Reference Format:Constant, M., Le Roux, J., and Sigogne, A. 2013. Combining compound recognition and PCFG-LA parsing with word lattices and conditional random fields.
International audienceThis paper adresses the problem of clustering dynamic collections of web documents. We show an iterative algorithm based on a fine-grained keyword extraction (simple, compound words and proper nouns). Each new document inserted in the collection is either assigned to an existing class containing documents of the same topic, or assigned to a new class. After each step, when necessary, classes are refined using statistical techniques. The implementation of this algorithm was successfully integrated in an application used for Information Intelligence
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