Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines
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Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur, Rajiv Ratn Shah. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.
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Recently, Transformer based alignment has led to a surge of leveraging large quantities of web data for vision and language tasks.
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- Authors
- Sawhney, R., Goyal, M., Goel, P., Mathur, P., & Shah, R. R.
- Affiliations
- Indraprastha Institute of Information Technology Delhi (IN)
- Venue
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Published
- 2021
- Pages
- 6751-6762
- OpenAlex
- W3176431316
- Cited by
- 8
- References
- 56
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 2
- FWCI
- 0.57
- Type
- conference paper
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- mergers and acquisitions, financial modeling, multi-speaker speech, financial statement analysis, speech-to-text, dataset construction
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