Discourse Representation Structure Parsing for Chinese

• URL: http://arxiv.org/abs/2306.09725v1
• Date: Fri, 16 Jun 2023 09:47:45 GMT
• Title: Discourse Representation Structure Parsing for Chinese
• Authors: Chunliu Wang, Xiao Zhang, Johan Bos
• Abstract summary: We explore the feasibility of Chinese semantic parsing in the absence of labeled data for Chinese meaning representations. We propose a test suite designed explicitly for Chinese semantic parsing, which provides fine-grained evaluation for parsing performance. Our experimental results show that the difficulty of Chinese semantic parsing is mainly caused by adverbs.
• Score: 8.846860617823005
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Previous work has predominantly focused on monolingual English semantic parsing. We, instead, explore the feasibility of Chinese semantic parsing in the absence of labeled data for Chinese meaning representations. We describe the pipeline of automatically collecting the linearized Chinese meaning representation data for sequential-to sequential neural networks. We further propose a test suite designed explicitly for Chinese semantic parsing, which provides fine-grained evaluation for parsing performance, where we aim to study Chinese parsing difficulties. Our experimental results show that the difficulty of Chinese semantic parsing is mainly caused by adverbs. Realizing Chinese parsing through machine translation and an English parser yields slightly lower performance than training a model directly on Chinese data.

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