Projects per year
Abstract
This paper introduces PMIndiaSum, a multilingual and massively parallel summarization corpus focused on languages in India. Our corpus provides a training and testing ground for four language families, 14 languages, and the largest to date with 196 language pairs. We detail our construction workflow including data acquisition, processing, and quality assurance. Furthermore, we publish benchmarks for monolingual, cross-lingual, and multilingual summarization by fine-tuning, prompting, as well as translate-and-summarize. Experimental results confirm the crucial role of our data in aiding summarization between Indian languages. Our dataset is publicly available and can be freely modified and re-distributed.
Original language | English |
---|---|
Title of host publication | Findings of the Association for Computational Linguistics: EMNLP 2023 |
Editors | Houda Bouamor, Juan Pino, Kalika Bali |
Place of Publication | Singapore |
Publisher | Association for Computational Linguistics |
Pages | 11606-11628 |
Number of pages | 23 |
ISBN (Print) | 979-8-89176-061-5 |
DOIs | |
Publication status | Published - 1 Dec 2023 |
Event | The 2023 Conference on Empirical Methods in Natural Language Processing - Resorts World Convention Centre, Sentosa, Singapore Duration: 6 Dec 2023 → 10 Dec 2023 Conference number: 28 https://2023.emnlp.org/ |
Conference
Conference | The 2023 Conference on Empirical Methods in Natural Language Processing |
---|---|
Abbreviated title | EMNLP 2023 |
Country/Territory | Singapore |
City | Sentosa |
Period | 6/12/23 → 10/12/23 |
Internet address |
Fingerprint
Dive into the research topics of 'PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India'. Together they form a unique fingerprint.Projects
- 1 Active
-
UTTER: Unified Transcription and Translation for Extended Reality
1/10/22 → 30/09/25
Project: Research