@inproceedings{liu-etal-2019-ellipsis,
title = "Ellipsis in {C}hinese {AMR} Corpus",
author = "Liu, Yihuan and
Li, Bin and
Yan, Peiyi and
Song, Li and
Qu, Weiguang",
editor = "Xue, Nianwen and
Croft, William and
Hajic, Jan and
Huang, Chu-Ren and
Oepen, Stephan and
Palmer, Martha and
Pustejovksy, James",
booktitle = "Proceedings of the First International Workshop on Designing Meaning Representations",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3310",
doi = "10.18653/v1/W19-3310",
pages = "92--99",
abstract = "Ellipsis is very common in language. It{'}s necessary for natural language processing to restore the elided elements in a sentence. However, there{'}s only a few corpora annotating the ellipsis, which draws back the automatic detection and recovery of the ellipsis. This paper introduces the annotation of ellipsis in Chinese sentences, using a novel graph-based representation Abstract Meaning Representation (AMR), which has a good mechanism to restore the elided elements manually. We annotate 5,000 sentences selected from Chinese TreeBank (CTB). We find that 54.98{\%} of sentences have ellipses. 92{\%} of the ellipses are restored by copying the antecedents{'} concepts. and 12.9{\%} of them are the new added concepts. In addition, we find that the elided element is a word or phrase in most cases, but sometimes only the head of a phrase or parts of a phrase, which is rather hard for the automatic recovery of ellipsis.",
}
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%0 Conference Proceedings
%T Ellipsis in Chinese AMR Corpus
%A Liu, Yihuan
%A Li, Bin
%A Yan, Peiyi
%A Song, Li
%A Qu, Weiguang
%Y Xue, Nianwen
%Y Croft, William
%Y Hajic, Jan
%Y Huang, Chu-Ren
%Y Oepen, Stephan
%Y Palmer, Martha
%Y Pustejovksy, James
%S Proceedings of the First International Workshop on Designing Meaning Representations
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F liu-etal-2019-ellipsis
%X Ellipsis is very common in language. It’s necessary for natural language processing to restore the elided elements in a sentence. However, there’s only a few corpora annotating the ellipsis, which draws back the automatic detection and recovery of the ellipsis. This paper introduces the annotation of ellipsis in Chinese sentences, using a novel graph-based representation Abstract Meaning Representation (AMR), which has a good mechanism to restore the elided elements manually. We annotate 5,000 sentences selected from Chinese TreeBank (CTB). We find that 54.98% of sentences have ellipses. 92% of the ellipses are restored by copying the antecedents’ concepts. and 12.9% of them are the new added concepts. In addition, we find that the elided element is a word or phrase in most cases, but sometimes only the head of a phrase or parts of a phrase, which is rather hard for the automatic recovery of ellipsis.
%R 10.18653/v1/W19-3310
%U https://aclanthology.org/W19-3310
%U https://doi.org/10.18653/v1/W19-3310
%P 92-99
Markdown (Informal)
[Ellipsis in Chinese AMR Corpus](https://aclanthology.org/W19-3310) (Liu et al., DMR 2019)
ACL
- Yihuan Liu, Bin Li, Peiyi Yan, Li Song, and Weiguang Qu. 2019. Ellipsis in Chinese AMR Corpus. In Proceedings of the First International Workshop on Designing Meaning Representations, pages 92–99, Florence, Italy. Association for Computational Linguistics.