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.- Anthology ID:
- 2020.acl-main.606
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6783–6794
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.606
- DOI:
- 10.18653/v1/2020.acl-main.606
- Cite (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.
- Cite (Informal):
- Semantic Parsing for English as a Second Language (Zhao et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.acl-main.606.pdf