To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

ShrdLite: Semantic Parsin… - University of Gothenburg, Sweden Till startsida
Sitemap
To content Read more about how we use cookies on gu.se

ShrdLite: Semantic Parsing Using a Handmade Grammar

Conference paper
Authors Peter Ljunglöf
Published in SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands
Publication year 2014
Published at Department of Computer Science and Engineering, Computing Science (GU)
Language en
Links www.aclweb.org/anthology/S14-2097
https://gup.ub.gu.se/file/139050
Subject categories Language Technology (Computational Linguistics)

Abstract

This paper describes my approach for parsing robot commands, which was task 6 at SemEval 2014. My solution is to manually create a compact unification grammar. The grammar is highly ambiguous, and relies heavily on filtering the parse results by checking their consistency with the current world. The grammar is small, consisting of not more than 25 grammatical and 60 lexical rules. The parser uses simple error correction together with a straightforward iterative deepening search. Nevertheless, with these very basic algorithms, the system still managed to get 86.1% correctness on the evaluation data. Even more interesting is that by making the parser slightly more robust, the accuracy of the system rises to 93.5%, and by adding one single word to the lexicon, the accuracy is boosted to 98.0%.

Page Manager: Webmaster|Last update: 9/11/2012
Share:

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?