@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",
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.",
}
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%0 Conference Proceedings
%T Exploiting a lexical resource for discourse connective disambiguation in German
%A Bourgonje, Peter
%A Stede, Manfred
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F bourgonje-stede-2020-exploiting
%X 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.
%R 10.18653/v1/2020.coling-main.505
%U https://aclanthology.org/2020.coling-main.505
%U https://doi.org/10.18653/v1/2020.coling-main.505
%P 5737-5748
Markdown (Informal)
[Exploiting a lexical resource for discourse connective disambiguation in German](https://aclanthology.org/2020.coling-main.505) (Bourgonje & Stede, COLING 2020)
ACL