We present the Universal Decompositional Semantics (UDS) dataset (v1. 0), which is
bundled with the Decomp toolkit (v0. 1). UDS1. 0 unifies five high-quality, decompositional …

The area of designing semantic/meaning representations is a dynamic one with new
formalisms and extensions being proposed continuously. It may be challenging for users of …

Despite the significant progress made in Natural Language Processing (NLP) thanks to
deep learning techniques, efforts are still needed to model explicit, factual, and accurate …

While many languages use adpositions to encode semantic relationships between content
words in a sentence (eg, agentivity or temporality), the details of how adpositions work vary …

Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013) is a
typologically-informed, broad-coverage semantic annotation scheme that describes coarse …

In this paper, we consider two of the currently popular semantic frameworks: Abstract
Meaning Representation (AMR) a more abstract framework, and Universal Conceptual …

Adpositions and case markers are ubiquitous in natural language and express a wide range
of meaning relations that can be of crucial relevance for many NLP and AI tasks. However …

Predicate-argument structure analysis is a central component in meaning representations of
text. The fact that some arguments are not explicitly mentioned in a sentence gives rise to …

We present in-progress annotation of semantic relations expressed through adpositions and
case markers in a Hindi corpus. We used the multilingual SNACS annotation scheme, which …

This document offers a detailed linguistic description of SNACS (Semantic Network of
Adposition and Case Supersenses; Schneider et al., 2018), an inventory of 52 semantic …