Not difficult but that was what I was asked: I was asked to write an algorithm and implement it to detect whether a search engine query is a question or not.
Nlp Research Intern Interview Questions
54 nlp research intern interview questions shared by candidates
Basic Python questions, Projects from resume, BERT model, knowledge on transformers etc.
Q: What is the difference between ELMO and BERT/Transformer? Q: How would you design a multi-label text classification model?
What is your role in this research? And what is the contribution?
Describe the precision recall curve
Questions about project + details on attention and BERT + Leetcode
1. Basic NLP and Deep Learning. 2. Problem solving given a product usecase on NLP. (ideas stealing)
Once you pass the coding screen, the on site was not very technical. One question was on Latent Semantic Analysis and how it can pick up ellipsis/ syntactic formation that is suggestive of ellipsis. But the interviewer himself didn't know any answer (when asked "do you have any questions" in the end, I asked about what the solution might be for that- because I think it's a very speculative question that doesn't have existing answers in the industry. Turns out I was right. The interviewer had no idea what he was asking).
Some questions are based on the projects listed on my resume.
Can you train your own NLP model?
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