Improving the numerical reasoning skills of question answer systems in finance
The field of natural language processing (NLP) has witnessed remarkable progress in recent years. Among the many applications, question answering (Q/A) systems have emerged as a crucial tool enabling access to information from various domains. In the financial sector, where complex calculations a...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175338 |