MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging
Gabriel Marzinotto, Johannes Heinecke, Géraldine Damnati · 2019
This paper describes our recursive system for SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA.Each recursive step consists of two parts.We first perform semantic parsing using a sequence tagger to estimate the probabilities of the UCCA categories in the sentence.Then, we apply a decoding policy which interprets these probabilities and builds the graph nodes.Parsing is done recursively, we perform a first inference on the sentence to extract the main scenes and links and then we recursively apply our model on the sentence using a masking feature that reflects the decisions made in previous steps.Process continues until the terminal nodes are reached.We choose a standard neural tagger and we focused on our recursive parsing strategy and on the cross lingual transfer problem to develop a robust model for the French language, using only few training samples.