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Do you think SBERT + SVM is a good fit for handling ambiguous or less common phrases, or do you still end up needing some post-processing rules for edge cases?
by azeusCC 2y ago
Do you think SBERT + SVM is a good fit for handling ambiguous or less common phrases, or do you still end up needing some post-processing rules for edge cases?
- PaulHoule 2y agoI haven't tried classifying anything as small as a phrase (assuming you've extracted it yet) with SBERT+SVM so I really don't know. Another thing to consider is a T5 model. A T5 model maps strings to strings so it can be trained to take an input like "Extract the skills from this resume: ..." with the output like "Excel, Pandas, Python, Cold Fusion, C#, ..." and it will try to do the same. You'll probably still find it makes some mistake that drives you up the wall that need some pre- or post- processing.