Following the current interest in developing automatic question answering systems, we analyse alternative approaches for finding suitable answers from a list of Frequently Asked Questions (FAQs), in Portuguese. We conclude that traditional Information Retrieval (IR) can be a solution for smaller lists of FAQs, but approaches based on deep neural networks for sentence encoding are at least as reliable and less dependent on the number and complexity of the FAQs.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Jan 01, 2022 |
| Journal | DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) |
| Authors | Susan Zhang, Stephen Roller, Silva, Catarina |
| DOI | 10.4230/oasics.slate.2022.19 |
| Citations | 919 |
| Source | OpenAlex |