SUMMARYThis paper proposes a method of correcting annotation errors in a treebank. By using a synchronous grammar, the method transforms parse trees containing annotation errors into the ones whose errors are corrected. The synchronous grammar is automatically induced from the treebank. We report an experimental result of applying our method to the Penn Treebank. The result demonstrates that our method corrects syntactic annotation errors with high precision.
SUMMARYThis paper describes an incremental parser based on an adjoining operation. By using the operation, we can avoid the problem of infinite local ambiguity. This paper further proposes a restricted version of the adjoining operation, which preserves lexical dependencies of partial parse trees. Our experimental results showed that the restriction enhances the accuracy of the incremental parsing.
This paper proposes a left-corner parser which can identify nonlocal dependencies. Our parser integrates nonlocal dependency identification into a transition-based system. We use a structured perceptron which enables our parser to utilize global features captured by nonlocal dependencies. An experimental result demonstrates that our parser achieves a good balance between constituent parsing and nonlocal dependency identification.
This paper proposes a method for evaluating the validity of partial parse trees constructed in incremental parsing. Our method is based on stochastic incremental parsing, and it incrementally evaluates the validity for each partial parse tree on a wordby-word basis. In our method, incremental parser returns partial parse trees at the point where the validity for the partial parse tree becomes greater than a threshold. Our technique is effective for improving the accuracy of incremental parsing.
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