80 citations · 234 across the 21 of their papers we have counts for
23 papers
Discourse Representation Structure Parsing for Chinese
Chunliu Wang, Xiao Zhang, Johan Bos
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…
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Chunliu Wang, Huiyuan Lai, Malvina Nissim +1
Pre-trained language models (PLMs) have achieved great success in NLP and have recently been used for tasks in computational semantics. However, these tasks do not fully benefit fr…
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi, Johan Bos, Thierry Declerck +9
In the last five years, there has been a significant focus in Natural Language Processing (NLP) on developing larger Pretrained Language Models (PLMs) and introducing benchmarks su…
The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages
Lasha Abzianidze, Rik van Noord, Chunliu Wang +1
This paper gives a general description of the ideas behind the Parallel Meaning Bank, a framework with the aim to provide an easy way to annotate compositional semantics for texts…
DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs
Lasha Abzianidze, Johan Bos, Stephan Oepen
Discourse Representation Theory (DRT) is a formal account for representing the meaning of natural language discourse. Meaning in DRT is modeled via a Discourse Representation Struc…
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
Rik van Noord, Antonio Toral, Johan Bos
We combine character-level and contextual language model representations to improve performance on Discourse Representation Structure parsing. Character representations can easily…