@inproceedings{a12d8619adad4427bca0a7cdfaca7cb6,
title = "Semantic annotation of Japanese functional expressions and its impact on factuality analysis",
abstract = "Recognizing the meaning of functional expressions is essential for natural language understanding. This is a difficult task, owing to the lack of a sufficient corpus for machine learning and evaluation. In this study, we design a new annotation scheme and construct a corpus containing 2,327 Japanese sentences and 8,775 functional expressions. Our scheme achieves high inter-annotator agreement with kappa score of 0.85. In the experiments, we confirmed that machine learning-based functional expression analysis contributes to factuality analysis.",
author = "Yudai Kamioka and Kazuya Narita and Junta Mizuno and Miwa Kanno and Kentaro Inui",
note = "Funding Information: This work was supported by MEXT KAKENHI Grant Number 23240018 and by RISTEX, JST. Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; 9th Linguistic Annotation Workshop, LAW 2015, held in conjuncion with NAACL 2015 ; Conference date: 05-06-2015",
year = "2020",
language = "English",
series = "LAW 2015 - 9th Linguistic Annotation Workshop, held in conjuncion with NAACL 2015 - Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "52--61",
editor = "Adam Meyers and Ines Rehbein and Heike Zinsmeister",
booktitle = "LAW 2015 - 9th Linguistic Annotation Workshop, held in conjuncion with NAACL 2015 - Proceedings of the Workshop",
address = "United States",
}