Semantic parsing (SP) allows humans to leverage vast knowledge resources through
natural interaction. However, parsers are mostly designed for and evaluated on English …

In this paper, we present a system for generating semantic representations from Universal
Dependencies syntactic parses. The foundation of our pipeline is a rule-based interpretation …

An ontology based task oriented dialogue as an interface to an user developing applications
using natural language instructions is presented. The dialogue system represents the …

This paper presents a new dataset with Discourse Representation Structures (DRSs)
annotated over naturally-occurring sentences. Importantly, these sentences are more varied …

An ontology-based task-oriented dialogue is presented as an interface for a user developing
applications in the OutSystems environment, using natural language instructions. The …

This work experiments with various configurations of transformer-based sequence-to-
sequence neural networks in training a Discourse Representation Structure (DRS) parser …

Discourse Representation Structure (DRS) is an innovative semantic representation
designed to capture the meaning of texts with arbitrary lengths across languages. The …

Abstract This paper addresses Semantic Role Labeling (SRL) within the context of English
Discourse Representation Structure (DRS) parsing. In particular, we investigate whether …

Capturing the similarities between human language units is crucial for explaining how
humans associate different objects, and therefore its computation has received extensive …

Abstract Discourse Representation Structure (DRS) is an innovative semantic representation
designed to capture the meaning of texts with arbitrary lengths across languages. The …