Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Implementing SpanBERT for Relation Extraction
This chapter examines the application of SpanBERT in relation extraction projects, detailing its ability to analyze spans of text for improved understanding in NLP tasks. It discusses the process of curating diverse datasets using an Elasticsearch database, the importance of inference triage for efficient model deployment, and the balance between traditional methods and deep learning approaches. Additionally, the chapter highlights challenges in model debugging and the interpretation of saliency maps, providing insights into error correction and performance evaluation within real-world NLP applications.
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