Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles
- Title
- Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles
- Description
- Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings pp.244-247
- Creator
- Banerjee N.; Sarkar A.; Chakraborty S.; Ghosh S.; Naskar S.K.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195195629&partnerID=40&md5=8f07993f6b6e15bbd14c60e9587e8d34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195195629&partnerID=40&md5=8f07993f6b6e15bbd14c60e9587e8d34</a>
- Date
- 2024-01-01
Collection
Citation
Banerjee N.; Sarkar A.; Chakraborty S.; Ghosh S.; Naskar S.K., “Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9740.