Publication
Abstract
This paper describes the first report on crosslingual transfer for semantic dependency parsing. We present the insight that there are two different kinds of cross-linguality, namely surface level and semantic level, and try to capture both kinds of cross-linguality by combining annotation projection and model transfer of pre-trained language models.
Our experiments showed that the performance of our graph-based semantic dependency parser almost achieved the approximated upper bound.