Work

Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

Year: 2020

Type: article

Abstract: This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches. We outline the most important characteristics of each framework and then discuss how particular language phenomena are treated across those frameworks, while trying to shed light on commonalities as well as differences.

Source: Computational Linguistics

DOI: 10.1162/coli_a_00385

Authors: Zdeněk Žabokrtský, Daniel Zeman, Magda Ševčíková

Institution: Charles University

Language: English

Topic: Syntax, Semantics, Linguistic Variation

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W3042429451

FWCI: 10.47

Cites: 139

Cited by: 20

Related to: 10