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Text Simplification using Typed Dependencies: A Comparison of the Robustness of Different Generation Strategies

Siddharthan, Advaith (2011). Text Simplification using Typed Dependencies: A Comparison of the Robustness of Different Generation Strategies. In: Proceedings of the 13th European Workshop on Natural Language Generation (ENLG), 2011.

URL: http://www.aclweb.org/anthology/W11-2802
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Abstract

We present a framework for text simplification based on applying transformation rules to a typed dependency representation produced by the Stanford parser. We test two approaches to regeneration from typed dependencies: (a) gen-light, where the transformed dependency graphs are linearised using the word order and morphology of the original sentence, with any changes coded into the transformation rules, and (b) gen-heavy, where the Stanford dependencies are reduced to a DSyntS representation and sentences are generating formally using the RealPro surface realiser. The main contribution of this paper is to compare the robustness of these approaches in the presence of parsing errors, using both a single parse and an n-best parse setting in an overgenerate and rank approach. We find that the gen-light approach is robust to parser error, particularly in the n-best parse setting. On the other hand, parsing errors cause the realiser in the genheavy approach to order words and phrases in ways that are disliked by our evaluators.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 58885
Depositing User: Advaith Siddharthan
Date Deposited: 30 Jan 2019 16:52
Last Modified: 29 Mar 2019 11:14
URI: http://oro.open.ac.uk/id/eprint/58885
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