@inproceedings{zhao-etal-2020-semantic,
title = "Semantic Parsing for {E}nglish as a Second Language",
author = "Zhao, Yuanyuan and
Sun, Weiwei and
Cao, Junjie and
Wan, Xiaojun",
editor = "Jurafsky, Dan and
Chai, Joyce and
Schluter, Natalie and
Tetreault, Joel",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.606",
doi = "10.18653/v1/2020.acl-main.606",
pages = "6783--6794",
abstract = "This paper is concerned with semantic parsing for English as a second language (ESL). Motivated by the theoretical emphasis on the learning challenges that occur at the syntax-semantics interface during second language acquisition, we formulate the task based on the divergence between literal and intended meanings. We combine the complementary strengths of English Resource Grammar, a linguistically-precise hand-crafted deep grammar, and TLE, an existing manually annotated ESL UD-TreeBank with a novel reranking model. Experiments demonstrate that in comparison to human annotations, our method can obtain a very promising SemBanking quality. By means of the newly created corpus, we evaluate state-of-the-art semantic parsing as well as grammatical error correction models. The evaluation profiles the performance of neural NLP techniques for handling ESL data and suggests some research directions.",
}
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<abstract>This paper is concerned with semantic parsing for English as a second language (ESL). Motivated by the theoretical emphasis on the learning challenges that occur at the syntax-semantics interface during second language acquisition, we formulate the task based on the divergence between literal and intended meanings. We combine the complementary strengths of English Resource Grammar, a linguistically-precise hand-crafted deep grammar, and TLE, an existing manually annotated ESL UD-TreeBank with a novel reranking model. Experiments demonstrate that in comparison to human annotations, our method can obtain a very promising SemBanking quality. By means of the newly created corpus, we evaluate state-of-the-art semantic parsing as well as grammatical error correction models. The evaluation profiles the performance of neural NLP techniques for handling ESL data and suggests some research directions.</abstract>
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%0 Conference Proceedings
%T Semantic Parsing for English as a Second Language
%A Zhao, Yuanyuan
%A Sun, Weiwei
%A Cao, Junjie
%A Wan, Xiaojun
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F zhao-etal-2020-semantic
%X This paper is concerned with semantic parsing for English as a second language (ESL). Motivated by the theoretical emphasis on the learning challenges that occur at the syntax-semantics interface during second language acquisition, we formulate the task based on the divergence between literal and intended meanings. We combine the complementary strengths of English Resource Grammar, a linguistically-precise hand-crafted deep grammar, and TLE, an existing manually annotated ESL UD-TreeBank with a novel reranking model. Experiments demonstrate that in comparison to human annotations, our method can obtain a very promising SemBanking quality. By means of the newly created corpus, we evaluate state-of-the-art semantic parsing as well as grammatical error correction models. The evaluation profiles the performance of neural NLP techniques for handling ESL data and suggests some research directions.
%R 10.18653/v1/2020.acl-main.606
%U https://aclanthology.org/2020.acl-main.606
%U https://doi.org/10.18653/v1/2020.acl-main.606
%P 6783-6794
Markdown (Informal)
[Semantic Parsing for English as a Second Language](https://aclanthology.org/2020.acl-main.606) (Zhao et al., ACL 2020)
ACL
- Yuanyuan Zhao, Weiwei Sun, Junjie Cao, and Xiaojun Wan. 2020. Semantic Parsing for English as a Second Language. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6783–6794, Online. Association for Computational Linguistics.