@inproceedings{ehren-etal-2020-supervised,
title = "Supervised Disambiguation of {G}erman Verbal Idioms with a {B}i{LSTM} Architecture",
author = "Ehren, Rafael and
Lichte, Timm and
Kallmeyer, Laura and
Waszczuk, Jakub",
editor = "Klebanov, Beata Beigman and
Shutova, Ekaterina and
Lichtenstein, Patricia and
Muresan, Smaranda and
Wee, Chee and
Feldman, Anna and
Ghosh, Debanjan",
booktitle = "Proceedings of the Second Workshop on Figurative Language Processing",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.figlang-1.29",
doi = "10.18653/v1/2020.figlang-1.29",
pages = "211--220",
abstract = "Supervised disambiguation of verbal idioms (VID) poses special demands on the quality and quantity of the annotated data used for learning and evaluation. In this paper, we present a new VID corpus for German and perform a series of VID disambiguation experiments on it. Our best classifier, based on a neural architecture, yields an error reduction across VIDs of 57{\%} in terms of accuracy compared to a simple majority baseline.",
}
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%0 Conference Proceedings
%T Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture
%A Ehren, Rafael
%A Lichte, Timm
%A Kallmeyer, Laura
%A Waszczuk, Jakub
%Y Klebanov, Beata Beigman
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%Y Feldman, Anna
%Y Ghosh, Debanjan
%S Proceedings of the Second Workshop on Figurative Language Processing
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F ehren-etal-2020-supervised
%X Supervised disambiguation of verbal idioms (VID) poses special demands on the quality and quantity of the annotated data used for learning and evaluation. In this paper, we present a new VID corpus for German and perform a series of VID disambiguation experiments on it. Our best classifier, based on a neural architecture, yields an error reduction across VIDs of 57% in terms of accuracy compared to a simple majority baseline.
%R 10.18653/v1/2020.figlang-1.29
%U https://aclanthology.org/2020.figlang-1.29
%U https://doi.org/10.18653/v1/2020.figlang-1.29
%P 211-220
Markdown (Informal)
[Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture](https://aclanthology.org/2020.figlang-1.29) (Ehren et al., Fig-Lang 2020)
ACL