Exploiting a lexical resource for discourse connective disambiguation in German
Peter Bourgonje, Manfred Stede
Abstract
In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task. We successively augment a purely-empirical approach based on contextualised embeddings with linguistic knowledge encoded in a connective lexicon. In this way, we improve over published results for connective identification, achieving a final F1-score of 87.93; and we introduce, to the best of our knowledge, first results for German sense classification, achieving an F1-score of 87.13. Our approach demonstrates that a connective lexicon can be a valuable resource for those languages that do not have a large PDTB-style-annotated coprus available.
BibTeX
@inproceedings{bourgonje-stede-2020-exploiting,
title = "Exploiting a lexical resource for discourse connective disambiguation in {G}erman",
author = "Bourgonje, Peter and
Stede, Manfred",
editor = "Scott, Donia and
Bel, Nuria and
Zong, Chengqing",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2020.coling-main.505/",
doi = "10.18653/v1/2020.coling-main.505",
pages = "5737--5748"
}