@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},
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).",
}
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