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Since 2006, several campus departments have teamed up to cover the cost of providing EndNote for any UC Davis faculty, student or staff member who wanted to download it. 1, 2019, to obtain a new license or choose a different product. The resulting parser is simple and proved to effective on the semantic parsing task.If you use EndNote bibliographic software under the current UC Davis license, you have until Jan. The proposed model alleviates challenges and feature engineering in traditional transition-based and graph-based parsers. The encoder is a Bi-LSTM and the decoder uses recursive self-attention. We present an encoder-decoder model for semantic parsing with UCCA SemEval 2019 Task 1. Proceedings of the 13th International Workshop on Semantic EvaluationĪssociation for Computational Linguistics UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder Cite (Informal): UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder (Yu & Sagae, SemEval 2019) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: Association for Computational Linguistics. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 119–124, Minneapolis, Minnesota, USA. UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder. Anthology ID: S19-2017 Volume: Proceedings of the 13th International Workshop on Semantic Evaluation Month: June Year: 2019 Address: Minneapolis, Minnesota, USA Venue: SemEval SIG: SIGLEX Publisher: Association for Computational Linguistics Note: Pages: 119–124 Language: URL: DOI: 10.18653/v1/S19-2017 Bibkey: yu-sagae-2019-uc Cite (ACL): Dian Yu and Kenji Sagae. The resulting parser is simple and proved to effective on the semantic parsing task. Abstract We present an encoder-decoder model for semantic parsing with UCCA SemEval 2019 Task 1.