TY - GEN
T1 - Transfer learning for constituency-based grammars
AU - Zhang, Yuan
AU - Barzilay, Regina
AU - Globerson, Amir
PY - 2013
Y1 - 2013
N2 - In this paper, we consider the problem of cross-formalism transfer in parsing. We are interested in parsing constituencybased grammars such as HPSG and CCG using a small amount of data specific for the target formalism, and a large quantity of coarse CFG annotations from the Penn Treebank. While all of the target formalisms share a similar basic syntactic structure with Penn Treebank CFG, they also encode additional constraints and semantic features. To handle this apparent discrepancy, we design a probabilistic model that jointly generates CFG and target formalism parses. The model includes features of both parses, allowing transfer between the formalisms, while preserving parsing efficiency. We evaluate our approach on three constituency-based grammars - CCG, HPSG, and LFG, augmented with the Penn Treebank-1. Our experiments show that across all three formalisms, the target parsers significantly benefit from the coarse annotations.1
AB - In this paper, we consider the problem of cross-formalism transfer in parsing. We are interested in parsing constituencybased grammars such as HPSG and CCG using a small amount of data specific for the target formalism, and a large quantity of coarse CFG annotations from the Penn Treebank. While all of the target formalisms share a similar basic syntactic structure with Penn Treebank CFG, they also encode additional constraints and semantic features. To handle this apparent discrepancy, we design a probabilistic model that jointly generates CFG and target formalism parses. The model includes features of both parses, allowing transfer between the formalisms, while preserving parsing efficiency. We evaluate our approach on three constituency-based grammars - CCG, HPSG, and LFG, augmented with the Penn Treebank-1. Our experiments show that across all three formalisms, the target parsers significantly benefit from the coarse annotations.1
UR - http://www.scopus.com/inward/record.url?scp=84907345878&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84907345878
SN - 9781937284503
T3 - ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
SP - 291
EP - 301
BT - Long Papers
PB - Association for Computational Linguistics (ACL)
T2 - 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
Y2 - 4 August 2013 through 9 August 2013
ER -