@inproceedings{aedmaa-etal-2018-combining,
title = "Combining Abstractness and Language-specific Theoretical Indicators for Detecting Non-Literal Usage of {E}stonian Particle Verbs",
author = {Aedmaa, Eleri and
K{\"o}per, Maximilian and
Schulte im Walde, Sabine},
editor = "Cordeiro, Silvio Ricardo and
Oraby, Shereen and
Pavalanathan, Umashanthi and
Rim, Kyeongmin",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Student Research Workshop",
month = jun,
year = "2018",
address = "New Orleans, Louisiana, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-4002",
doi = "10.18653/v1/N18-4002",
pages = "9--16",
abstract = "This paper presents two novel datasets and a random-forest classifier to automatically predict literal vs. non-literal language usage for a highly frequent type of multi-word expression in a low-resource language, i.e., Estonian. We demonstrate the value of language-specific indicators induced from theoretical linguistic research, which outperform a high majority baseline when combined with language-independent features of non-literal language (such as abstractness).",
}
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%0 Conference Proceedings
%T Combining Abstractness and Language-specific Theoretical Indicators for Detecting Non-Literal Usage of Estonian Particle Verbs
%A Aedmaa, Eleri
%A Köper, Maximilian
%A Schulte im Walde, Sabine
%Y Cordeiro, Silvio Ricardo
%Y Oraby, Shereen
%Y Pavalanathan, Umashanthi
%Y Rim, Kyeongmin
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana, USA
%F aedmaa-etal-2018-combining
%X This paper presents two novel datasets and a random-forest classifier to automatically predict literal vs. non-literal language usage for a highly frequent type of multi-word expression in a low-resource language, i.e., Estonian. We demonstrate the value of language-specific indicators induced from theoretical linguistic research, which outperform a high majority baseline when combined with language-independent features of non-literal language (such as abstractness).
%R 10.18653/v1/N18-4002
%U https://aclanthology.org/N18-4002
%U https://doi.org/10.18653/v1/N18-4002
%P 9-16
Markdown (Informal)
[Combining Abstractness and Language-specific Theoretical Indicators for Detecting Non-Literal Usage of Estonian Particle Verbs](https://aclanthology.org/N18-4002) (Aedmaa et al., NAACL 2018)
ACL