UC Davis at SemEval-2019 Task 1: DAG Semantic Parsing with Attention-based Decoder

Abstract

We present an encoder-decoder model for semantic parsing with UCCA SemEval 2019 Task 1. The encoder is a Bi-LSTM and the decoder uses recursive self-attention. The proposed model alleviates challenges and feature engineering in traditional transition-based and graph-based parsers. The resulting parser is simple and proved to effective on the semantic parsing task.

Tasks

Reproductions