GF-DOP: grammatical feature data-oriented parsing
Finn, Ríona and Hearne, Mary and Way, Andy and van Genabith, Josef (2006) GF-DOP: grammatical feature data-oriented parsing. In: Lexical Functional Grammar 2006, 10-13 Kuly 2006, Konstanz, Germany.
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This paper proposes an extension of Tree-DOP which approximates the LFG-DOP model. GF-DOP combines the robustness of the DOP model with some of the linguistic competence of LFG. LFG c-structure trees are augmented with LFG functional information, with the aim of (i) generating
more informative parses than Tree-DOP; (ii) improving overall parse ranking by modelling grammatical features; and (iii) avoiding the inconsistent probability models of LFG-DOP. In a number of experiments on the HomeCentre corpus, we report on which (groups of) features most heavily influence parse quality, both positively and negatively.
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