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

Zdeněk Žabokrtský, Daniel Zeman, Magda Ševčíková


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.
Anthology ID:
2020.cl-3.3
Volume:
Computational Linguistics, Volume 46, Issue 3 - September 2020
Month:
September
Year:
2020
Address:
Venue:
CL
SIG:
Publisher:
Note:
Pages:
605–665
Language:
URL:
https://aclanthology.org/2020.cl-3.3
DOI:
10.1162/coli_a_00385
Bibkey:
Cite (ACL):
Zdeněk Žabokrtský, Daniel Zeman, and Magda Ševčíková. 2020. Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?. Computational Linguistics, 46(3):605–665.
Cite (Informal):
Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks? (Žabokrtský et al., CL 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2020.cl-3.3.pdf
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