@inproceedings{f5bf6f9e3bc14295b2f995ca3c1cff40,
title = "Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics",
abstract = "Building robust natural language understanding systems will require a clear characterization of whether and how various linguistic meaning representations complement each other. To perform a systematic comparative analysis, we evaluate the mapping between meaning representations from different frameworks using two complementary methods: (i) a rule-based converter, and (ii) a supervised delexicalized parser that parses to one framework using only information from the other as features. We apply these methods to convert the STREUSLE corpus (with syntactic and lexical semantic annotations) to UCCA (a graph-structured full-sentence meaning representation). Both methods yield surprisingly accurate target representations, close to fully supervised UCCA parser quality—indicating that UCCA annotations are partially redundant with STREUSLE annotations. Despite this substantial convergence between frameworks, we find several important areas of divergence.",
author = "Daniel Hershcovich and Nathan Schneider and Dotan Dvir and Jakob Prange and {de Lhoneux}, Miryam and Omri Abend",
note = "Publisher Copyright: {\textcopyright} 2020 COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference. All rights reserved.; 28th International Conference on Computational Linguistics, COLING 2020 ; Conference date: 08-12-2020 Through 13-12-2020",
year = "2020",
language = "الإنجليزيّة",
series = "COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "2947--2966",
editor = "Donia Scott and Nuria Bel and Chengqing Zong",
booktitle = "COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference",
address = "الولايات المتّحدة",
}