korean-amr-corpus
Korean Abstract Meaning Representation (AMR) Corpus
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.6%) to scientific vocabulary
Repository
Korean Abstract Meaning Representation (AMR) Corpus
Basic Info
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Metadata Files
README.md
korean-amr-corpus
[Paper] Hyonsu Choe, Jiyoon Han, Hyejin Park, Tae Hwan Oh, Hansaem Kim. 2020. Building Korean Abstract Meaning Representation Corpus. In Proceedings of the Second International Workshop on Designing Meaning Representations, pages 21–29, Barcelona Spain (online). Association for Computational Linguistics.
[Slides] at The Second International Workshop on Designing Meaning Representations (DMR'2020@COLING)
Citation
@inproceedings{choe-etal-2020-building,
title = "Building {K}orean {A}bstract {M}eaning {R}epresentation Corpus",
author = "Choe, Hyonsu and
Han, Jiyoon and
Park, Hyejin and
Oh, Tae Hwan and
Kim, Hansaem",
booktitle = "Proceedings of the Second International Workshop on Designing Meaning Representations",
month = dec,
year = "2020",
address = "Barcelona Spain (online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.dmr-1.3",
pages = "21--29",
abstract = "To explore the potential sembanking in Korean and ways to represent the meaning of Korean sentences, this paper reports on the process of applying Abstract Meaning Representation to Korean, a semantic representation framework that has been studied in wide range of languages, and its output: the Korean AMR corpus. The corpus which is constructed so far is a size of 1,253 sentences and its raw texts are from ExoBrain Corpus, a state-led R{\&}D project on language AI. This paper also analyzes the result in both qualitative and quantitative manners, proposing discussions for further development.",
}
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Building Korean Abstract Meaning Representation
Corpus
message: >-
If you use this dataset, please cite it using the
metadata from this file.
type: dataset
authors:
- family-names: Choe
given-names: Hyonsu
email: choehyonsu@gmail.com
affiliation: 'Language AI Lab, NCSOFT Corp.'
- given-names: Jiyoon
family-names: Han
email: clinamen35@yonsei.ac.kr
affiliation: >-
Institute of Language and Information Studies,
Yonsei University
- given-names: Hyejin
family-names: Park
email: hjp1010@yonsei.ac.kr
affiliation: >-
Department of Korean Language and Literature,
Yonsei University
- given-names: Taehwan
family-names: Oh
email: ghksl0604@yonsei.ac.kr
affiliation: >-
Department of Korean Language and Literature,
Yonsei University
- given-names: Hansaem
family-names: Kim
email: khss@yonsei.ac.kr
affiliation: >-
Institute of Language and Information Studies,
Yonsei University
identifiers:
- type: url
value: 'https://aclanthology.org/2020.dmr-1.3/'
repository: >-
https://github.com/choe-hyonsu-gabrielle/korean-amr-corpus
abstract: >-
To explore the potential sembanking in Korean and
ways to represent the meaning of Korean sentences,
this paper reports on the process of applying
Abstract Meaning Representation to Korean, a
semantic representation framework that has been
studied in wide range of languages, and its output:
the Korean AMR corpus. The corpus which is
constructed so far is a size of 1,253 sentences and
its raw texts are from ExoBrain Corpus, a state-led
R&D project on language AI. This paper also
analyzes the result in both qualitative and
quantitative manners, proposing discussions for
further development.
license: CC0-1.0