Towards a Multi-Representational Treebank
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TL;DR
This paper shows that high-quality DS-to-PS conversion is possible if the conversion process is performed at the designing stage of treebank construction to ensure that all information the authors wish to represent in PS is provided in DS.
Abstract
Computational, descriptive, and theoretical linguistics use both phrase \n(PS) structure and dependency structure (DS) to represent syntax. We believe \nthat the next-generation treebank should be multi-representational, designed \nfor both representations with an automatic conversion. In this paper, \nwe highlight the assumptions made by existing PS-to-DS and DS-to-PS conversion \nalgorithms and show the limitations of these algorithms. We then \npropose a new DS-to-PS conversion algorithm that outperforms existing algorithms \nand allows more flexibility. Our experiments and error analysis \nshow that high-quality DS-to-PS conversion is possible if the conversion process \nis performed at the designing stage of treebank construction to ensure \nthat all information we wish to represent in PS is provided in DS.
