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We describe the systems we developed for Discourse Representation Structure (DRS) parsing as part of the IWCS-2019 Shared Task of DRS Parsing.1 Our systems are based on sequence-to- sequence modeling. To implement our model, we use the open-source neural machine translation system implemented in PyTorch, OpenNMT-py. We experimented with a variety of encoder-decoder models based on recurrent neural networks and the Transformer model. We conduct experiments on the standard benchmark of the Parallel Meaning Bank (PMB 2.2). Our best system achieves a score of 84.8% F1 in the DRS parsing shared task.
|Title of host publication||Proceedings of the IWCS Shared Task on Semantic Parsing|
|Place of Publication||Gothenburg, Sweden|
|Publisher||Association for Computational Linguistics|
|Number of pages||6|
|Publication status||Published - 23 May 2019|
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1/09/16 → 31/08/22
1/02/16 → 31/01/19