@inproceedings{hatty-schulte-im-walde-2018-laypeople,
title = "A Laypeople Study on Terminology Identification across Domains and Task Definitions",
author = {H{\"a}tty, Anna and
Schulte im Walde, Sabine},
editor = "Walker, Marilyn and
Ji, Heng and
Stent, Amanda",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2052",
doi = "10.18653/v1/N18-2052",
pages = "321--326",
abstract = "This paper introduces a new dataset of term annotation. Given that even experts vary significantly in their understanding of termhood, and that term identification is mostly performed as a binary task, we offer a novel perspective to explore the common, natural understanding of what constitutes a term: Laypeople annotate single-word and multi-word terms, across four domains and across four task definitions. Analyses based on inter-annotator agreement offer insights into differences in term specificity, term granularity and subtermhood.",
}
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%0 Conference Proceedings
%T A Laypeople Study on Terminology Identification across Domains and Task Definitions
%A Hätty, Anna
%A Schulte im Walde, Sabine
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F hatty-schulte-im-walde-2018-laypeople
%X This paper introduces a new dataset of term annotation. Given that even experts vary significantly in their understanding of termhood, and that term identification is mostly performed as a binary task, we offer a novel perspective to explore the common, natural understanding of what constitutes a term: Laypeople annotate single-word and multi-word terms, across four domains and across four task definitions. Analyses based on inter-annotator agreement offer insights into differences in term specificity, term granularity and subtermhood.
%R 10.18653/v1/N18-2052
%U https://aclanthology.org/N18-2052
%U https://doi.org/10.18653/v1/N18-2052
%P 321-326
Markdown (Informal)
[A Laypeople Study on Terminology Identification across Domains and Task Definitions](https://aclanthology.org/N18-2052) (Hätty & Schulte im Walde, NAACL 2018)
ACL