Exploiting a lexical resource for discourse connective disambiguation in German

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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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APA

Bourgonje, P., & Stede, M. (2020). Exploiting a lexical resource for discourse connective disambiguation in German. In COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference (pp. 5737–5748). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.coling-main.505

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