Analysing Off-The-Shelf Options for Question Answering with Portuguese FAQs

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 is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 These rely on different technologies, some more established and others more recent, and are all easily adaptable to new lists of FAQs, on new domains.
• 2 We analyse the effort required for their configuration, the accuracy of their answers, and the time they take to get such answers.
• 3 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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