Probabilistic models for PP-attachment resolution and NP analysis

Authors:
Eric Gaussier;Nicola Cancedda
Affiliations:
XRCE, Chemin de Maupertuis, Meylan, France;XRCE, Chemin de Maupertuis, Meylan, France
Venue:
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Year:
2001

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Abstract

We present a general model for PP attachment resolution and NP analysis in French. We make explicit the different assumptions our model relies on, and show how it generalizes previously proposed models. We then present a series of experiments conducted on a corpus of newspaper articles, and assess the various components of the model, as well as the different information sources used.