Standard
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. /
Banerjee, Debayan; Nair, Pranav
; Usbeck, Ricardo et al.
Findings of the Association for Computational Linguistics: ACL 2023 : July 9-14, 2023. Hrsg. / Anna Rogers; Jordan L. Boyd-Graber; Naoaki Okazaki. Stroudsburg: Association for Computational Linguistics (ACL), 2023. S. 12219-12228 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Banerjee, D, Nair, P
, Usbeck, R & Biemann, C 2023,
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. in A Rogers, JL Boyd-Graber & N Okazaki (Hrsg.),
Findings of the Association for Computational Linguistics: ACL 2023 : July 9-14, 2023. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), Stroudsburg, S. 12219-12228, 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Ontario, Kanada,
09.07.23.
https://doi.org/10.18653/v1/2023.findings-acl.774,
https://doi.org/10.48550/arXiv.2305.15108
APA
Banerjee, D., Nair, P.
, Usbeck, R., & Biemann, C. (2023).
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. In A. Rogers, J. L. Boyd-Graber, & N. Okazaki (Hrsg.),
Findings of the Association for Computational Linguistics: ACL 2023 : July 9-14, 2023 (S. 12219-12228). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).
https://doi.org/10.18653/v1/2023.findings-acl.774,
https://doi.org/10.48550/arXiv.2305.15108
Vancouver
Banerjee D, Nair P
, Usbeck R, Biemann C.
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing. in Rogers A, Boyd-Graber JL, Okazaki N, Hrsg., Findings of the Association for Computational Linguistics: ACL 2023 : July 9-14, 2023. Stroudsburg: Association for Computational Linguistics (ACL). 2023. S. 12219-12228. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2023.findings-acl.774, 10.48550/arXiv.2305.15108
Bibtex
@inbook{5d6369c3cb2e4ab19990cad2ed7aa3f7,
title = "The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing",
abstract = "In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is to convert questions in natural language to the SPARQL query language. We observe that the query vocabulary is distinct from human vocabulary. Language Models (LMs) are pre-dominantly trained for human language tasks, and hence, if the query vocabulary is replaced with a vocabulary more attuned to the LM tokenizer, the performance of models may improve. We carry out carefully selected vocabulary substitutions on the queries and find absolute gains in the range of 17% on the GrailQA dataset.",
keywords = "Business informatics, Informatics",
author = "Debayan Banerjee and Pranav Nair and Ricardo Usbeck and Chris Biemann",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 09-07-2023 Through 14-07-2023",
year = "2023",
month = jul,
day = "1",
doi = "10.18653/v1/2023.findings-acl.774",
language = "English",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "12219--12228",
editor = "Anna Rogers and Boyd-Graber, {Jordan L.} and Naoaki Okazaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
address = "United States",
url = "https://2023.aclweb.org",
}
RIS
TY - CHAP
T1 - The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
AU - Banerjee, Debayan
AU - Nair, Pranav
AU - Usbeck, Ricardo
AU - Biemann, Chris
N1 - Conference code: 61
PY - 2023/7/1
Y1 - 2023/7/1
N2 - In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is to convert questions in natural language to the SPARQL query language. We observe that the query vocabulary is distinct from human vocabulary. Language Models (LMs) are pre-dominantly trained for human language tasks, and hence, if the query vocabulary is replaced with a vocabulary more attuned to the LM tokenizer, the performance of models may improve. We carry out carefully selected vocabulary substitutions on the queries and find absolute gains in the range of 17% on the GrailQA dataset.
AB - In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowledge graph question answering (KGQA), where the task is to convert questions in natural language to the SPARQL query language. We observe that the query vocabulary is distinct from human vocabulary. Language Models (LMs) are pre-dominantly trained for human language tasks, and hence, if the query vocabulary is replaced with a vocabulary more attuned to the LM tokenizer, the performance of models may improve. We carry out carefully selected vocabulary substitutions on the queries and find absolute gains in the range of 17% on the GrailQA dataset.
KW - Business informatics
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=85175442200&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/ef5423a8-c326-3827-a9f1-bbd3d0e21ba1/
U2 - 10.18653/v1/2023.findings-acl.774
DO - 10.18653/v1/2023.findings-acl.774
M3 - Article in conference proceedings
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 12219
EP - 12228
BT - Findings of the Association for Computational Linguistics: ACL 2023
A2 - Rogers, Anna
A2 - Boyd-Graber, Jordan L.
A2 - Okazaki, Naoaki
PB - Association for Computational Linguistics (ACL)
CY - Stroudsburg
T2 - 61st Annual Meeting of the Association for Computational Linguistics
Y2 - 9 July 2023 through 14 July 2023
ER -
