What challenges did you face when creating a resume parser using YOLOX..... | Data Science Interview
What challenges did you face when creating a resume parser using YOLOX and bidirectional LSTM?
Answer: One of the main challenges was ensuring accurate extraction of relevant information from various resume formats. YOLOX was used for object detection, identifying key sections such as education, skills, and experience, while bidirectional LSTM handled named entity recognition (NER) to classify the extracted information. The challenge lay in dealing with inconsistent formatting across resumes, which required additional rule-based approaches to ensure data integrity and improve the parser's performance across diverse inputs.
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