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dc.contributor.authorShen, Libin-
dc.contributor.authorChampollion, Lucas-
dc.contributor.authorJoshi, Aravind-
dc.identifier.citationShen, Libin, Lucas Champollion, and Aravind K. Joshi (2008). LTAG-spinal and the Treebank: A new resource for incremental, dependency and semantic parsing. Language Resources and Evaluation, 42(1): 1-19.en_US
dc.description.abstractWe introduce LTAG-spinal, a novel variant of traditional Lexicalized Tree Adjoining Grammar (LTAG) with desirable linguistic, computational and statistical properties. Unlike in traditional LTAG, subcategorization frames and the argument-adjunct distinction are left underspecified in LTAG-spinal. LTAG-spinal with adjunction constraints is weakly equivalent to LTAG. The LTAG-spinal formalism is used to extract an LTAG-spinal Treebank from the Penn Treebank with Propbank annotation. Based on Propbank annotation, predicate coordination and LTAG adjunction structures are successfully extracted. The LTAG-spinal Treebank makes explicit semantic relations that are implicit or absent from the original PTB. LTAG-spinal provides a very desirable resource for statistical LTAG parsing, incremental parsing, dependency parsing, and semantic parsing. This treebank has been successfully used to train an incremental LTAG-spinal parser and a bidirectional LTAG dependency parser.en_US
dc.publisherSpringer Netherlandsen_US
dc.subjectTree Adjoining Grammaren_US
dc.subjectDependency parsingen_US
dc.titleLTAG-spinal and the Treebank: A new resource for incremental, dependency and semantic parsingen_US
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