We present RobeCzech, a monolingual RoBERTa language representation model trained
on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach …

Abstract The 2020 Shared Task at the Conference for Computational Language Learning
(CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks and …

Semantic representation is a way of expressing the meaning of a text that can be processed
by a machine to serve a particular natural language processing (NLP) task that usually …

We present PERIN, a novel permutation-invariant approach to sentence-to-graph semantic
parsing. PERIN is a versatile, cross-framework and language independent architecture for …

This paper presents our proposed parser for the shared task on Meaning Representation
Parsing (MRP 2020) at CoNLL, where participant systems were required to parse five types …

Semantic parsing provides a way to extract the semantic structure of a text that could be
understood by machines. It is utilized in various NLP applications that require text …

Abstract Universal Conceptual Cognitive Annotation (UCCA)(Abend and Rappoport, 2013a)
is a cross-lingual semantic annotation framework that provides an easy annotation without …

Semantic representation is the task of conveying the meaning of a natural language
utterance by converting it to a logical form that can be processed and understood by …

This is an introductory tutorial to UCCA (Universal Conceptual Cognitive Annotation), a
cross-linguistically applicable framework for semantic representation, with corpora …

Abstract AMR (Abstract Meaning Representation) and EDS (Elementary Dependency
Structures) are two popular meaning representations in NLP/NLU. AMR is more abstract and …