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
Abstract
<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...
Subjects
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
Communities
Digital Humanities and Cultural Heritage
Download from
B2FIND
program source code . 2020
Provider: B2FIND
Any information missing or wrong?Report an Issue