Abstract: The main task of Skeleton Parsing is to identify the skeleton of a sentence automatically. Chinese Skeleton Parsing is a key problem in NLP. Because of the interrelation of the skeleton in the same context, a Multi-layer Maximum Entropy Modcl(MMEM) for the skeleton parsing was proposed. The low-layer ME analyzed skeleton by the context features while the high-layer ME analyzed skeleton by both the result of the low-layer ME and the features between sentences. The experiment showed that MMEM was efficient for Chinese skeleton parsing. A high precision was achieved under a small corpus while it was dependable on the scale of corpus. With the increasing of the corpus, the precilion of MMEM improves slowly.

Key words: Maximum entropy, Multi-layer maximum entropy model, Skeleton word, Skeleton parsing, Natural language processorg