Abstract
Many traditional TAG parsers handle ambiguity by considering all of the possible choices as they unfold during parsing. In contrast, D-theory parsers cope with ambiguity by using underspecified descriptions of trees. This chapter introduces a novel approach to parsing TAG, namely one that explores how D-theoretic notions may be applied to TAG parsing.
Combining the D-theoretic approach to TAG parsing as we do here raises new issues and problems. D-theoretic underspecification is used as a novel approach in the context of TAG parsing for delaying attachment decisions. Conversely, the use of TAG reveals the need for additional types of underspecification that have not been considered so far in the D-theoretic framework. These include combining sets of trees into their underspecified equivalents as well as underspecifying combinations of trees.
Herein we examine various issues that arise in this new approach to TAG parsing and present solutions to some of the problems. We also describe other issues which need to be resolved for this method of parsing to be implemented.
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© 2000 Springer Science+Business Media Dordrecht
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Chen, J., Vijay-Shanker, K. (2000). Towards a Reduced Commitment, D-Theory Style Tag Parser. In: Bunt, H., Nijholt, A. (eds) Advances in Probabilistic and Other Parsing Technologies. Text, Speech and Language Technology, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9470-7_8
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DOI: https://doi.org/10.1007/978-94-015-9470-7_8
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