## A multingual approach to question classification

2018
##### Project
Wortstellungsvariation in wh-Fragen: Evidenz aus dem Romanischen FOR 2111 TP 2 (Biezma)
##### Publication type
Contribution to a conference collection
Published
##### Published in
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) / Calzolari, Nicoletta et al. (ed.). - Paris : ELRA, 2018. - pp. 2715-2720
##### Abstract
In this paper we present the Konstanz Resource of Questions (KRoQ), the first dependency-parsed, parallel multilingual corpus of information-seeking and non information-seeking questions. In creating the corpus, we employ a linguistically motivated rule-based system that uses linguistic cues from one language to help classify and annotate questions across other languages. Our current corpus includes German, French, Spanish and Koine Greek. Based on the linguistically motivated heuristics we identify, a two-step scoring mechanism assigns intra- and inter-language scores to each question. Based on these scores, each question is classified as being either information seeking or non-information seeking. An evaluation shows that this mechanism correctly classifies questions in 79% of the cases. We release our corpus as a basis for further work in the area of question classification. It can be utilized as training and testing data for machine-learning algorithms, as corpus-data for theoretical linguistic questions or as a resource for further rule-based approaches to question identification.
##### Subject (DDC)
400 Philology, Linguistics
##### Keywords
Question Answering, Multilinguality, Corpus (Creation, Annotation, etc.)
##### Conference
Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 7, 2018 - May 12, 2018, Miyazaki, Japan
##### Cite This
ISO 690KALOULI, Aikaterini-Lida, Katharina KAISER, Annette HAUTLI-JANISZ, Georg A. KAISER, Miriam BUTT, 2018. A multingual approach to question classification. Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan, May 7, 2018 - May 12, 2018. In: CALZOLARI, Nicoletta, ed. and others. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Paris:ELRA, pp. 2715-2720
BibTex
@inproceedings{Kalouli2018multi-43593,
year={2018},
title={A multingual approach to question classification},
url={http://www.lrec-conf.org/proceedings/lrec2018/pdf/13.pdf},
publisher={ELRA},
booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
pages={2715--2720},
editor={Calzolari, Nicoletta},
author={Kalouli, Aikaterini-Lida and Kaiser, Katharina and Hautli-Janisz, Annette and Kaiser, Georg A. and Butt, Miriam},
note={ISBN: 979-10-95546-00-9}
}

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<dcterms:abstract xml:lang="eng">In this paper we present the Konstanz Resource of Questions (KRoQ), the first dependency-parsed, parallel multilingual corpus of information-seeking and non information-seeking questions. In creating the corpus, we employ a linguistically motivated rule-based system that uses linguistic cues from one language to help classify and annotate questions across other languages. Our current corpus includes German, French, Spanish and Koine Greek. Based on the linguistically motivated heuristics we identify, a two-step scoring mechanism assigns intra- and inter-language scores to each question. Based on these scores, each question is classified as being either information seeking or non-information seeking. An evaluation shows that this mechanism correctly classifies questions in 79% of the cases. We release our corpus as a basis for further work in the area of question classification. It can be utilized as training and testing data for machine-learning algorithms, as corpus-data for theoretical linguistic questions or as a resource for further rule-based approaches to question identification.</dcterms:abstract>
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2018-10-23
##### Comment on publication
ISBN: 979-10-95546-00-9
Yes