research product . program source code . 2020

Encoder-Decoder Model for Semantic Role Labeling

Daza, Angel (Leibniz Institute for the German Language);
  • Published: 01 Jan 2020
  • Publisher: heiDATA
<p><strong>Abstract (Daza &amp; Frank 2019):</strong></p> <p>We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependency-based and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lin...
free text keywords: Arts and Humanities, Computer and Information Science, SRL, Semantic Role Labeling, cross lingual setting, monolingual setting, multilingual setting, semantic role annotation, Humanities
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program source code . 2020
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