A Probabilistic Model of Compound Nouns

Details A Probabilistic Model of Compound Nouns A Probabilistic Model of Compound Nouns

1994-09-06

arxiv.org/abs/cmp-lg/9409003v1

7th Australian Joint Conference on AI, 1994

Computer Science

Computation and Language

9 pages, uuencoded compressed postscript, please ignore any undefined command error at end

Scientific paper

Compound nouns such as example noun compound are becoming more common in natural language and pose a number of difficult problems for NLP systems, notably increasing the complexity of parsing. In this paper we develop a probabilistic model for syntactically analysing such compounds. The model predicts compound noun structures based on knowledge of affinities between nouns, which can be acquired from a corpus. Problems inherent in this corpus-based approach are addressed: data sparseness is overcome by the use of semantically motivated word classes and sense ambiguity is explicitly handled in the model. An implementation based on this model is described in Lauer (1994) and correctly parses 77% of the test set.

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