All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German

Yana Strakatova, Neele Falk, Isabel Fuhrmann, Erhard Hinrichs, Daniela Rossmann


Abstract
In this paper we present the GerCo dataset of adjective-noun collocations for German, such as alter Freund ‘old friend’ and tiefe Liebe ‘deep love’. The annotation has been performed by experts based on the annotation scheme introduced in this paper. The resulting dataset contains 4,732 positive and negative instances of collocations and covers all the 16 semantic classes of adjectives as defined in the German wordnet GermaNet. The dataset can serve as a reliable empirical basis for comparing different theoretical frameworks concerned with collocations or as material for data-driven approaches to the studies of collocations including different machine learning experiments. This paper addresses the latter issue by using the GerCo dataset for evaluating different models on the task of automatic collocation identification. We compare lexical association measures with static and contextualized word embeddings. The experiments show that word embeddings outperform methods based on statistical association measures by a wide margin.
Anthology ID:
2020.lrec-1.538
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4368–4378
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.538
DOI:
Bibkey:
Cite (ACL):
Yana Strakatova, Neele Falk, Isabel Fuhrmann, Erhard Hinrichs, and Daniela Rossmann. 2020. All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4368–4378, Marseille, France. European Language Resources Association.
Cite (Informal):
All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German (Strakatova et al., LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.538.pdf