Papers by Corentin Masson
Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus (2024.lrec-main)
Copied to clipboard
| Challenge: | Recent research attempts to quantify the exposure of market assets to various risks from text and how assets react if the risk materializes itself. |
| Approach: | They propose two new metrics to evaluate the behavior of different types of topic models with respect to pitfalls previously mentioned about document risk distribution extraction. |
| Outcome: | The proposed models can be used to extract unbiased risk information from financial domain data and correct coherence imbalances. |
NLP Analytics in Finance with DoRe: A French 250M Tokens Corpus of Corporate Annual Reports (2020.lrec-1)
Copied to clipboard
| Challenge: | Recent advances in neural computing and word embeddings for semantic processing open many new applications areas which had been left unaddressed due to inadequate language understanding capacity. |
| Approach: | They propose a French and dialectal French corpus for NLP analytics in finance, regulation and investment. |
| Outcome: | The proposed corpus is designed to be as modular as possible to allow for maximum reuse in different tasks pertaining to Economics, Finance and Investment. |