Paper: Incremental LTAG Parsing

ACL ID H05-1102
Title Incremental LTAG Parsing
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

We present a very efficient statistical in- cremental parser for LTAG-spinal, a vari- ant of LTAG. The parser supports the full adjoining operation, dynamic predi- cate coordination, and non-projective de- pendencies, with a formalism of provably stronger generative capacity as compared to CFG. Using gold standard POS tags as input, on section 23 of the PTB, the parser achieves an f-score of 89.3% for syntactic dependency defined on LTAG derivation trees, which are deeper than the dependen- cies extracted from PTB alone with head rules (for example, in Magerman’s style).