We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical ...
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
In transformation-based parsing, a finite sequence of tree rewriting rules are checked for application to an input structure. Since in practice only a small percentage of rules ar...
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
We describe the mechanisation of SLR parsing, covering background properties of context-free languages and grammars, as well as the construction of an SLR automaton. Among the vari...