How can techniques for word sense disambiguation (WSD) be improved to handle domain-specific language effectively, and what are the potential impacts of successful WSD on applications such as medical text analysis and legal document processing?

How can techniques for word sense disambiguation (WSD) be improved to handle domain-specific language effectively, and what are the potential impacts of successful WSD on applications such as medical text analysis and legal document processing?

von HUF02 Nguyễn Ngọc Khải -
Improving WSD for domain-specific language can be achieved by training models on specialized corpora and leveraging context-sensitive embeddings like BERT. Successful WSD ...

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Improving WSD for domain-specific language can be achieved by training models on specialized corpora and leveraging context-sensitive embeddings like BERT. Successful WSD enables precise interpretation in fields like medicine and law, leading to more accurate diagnostics, risk assessments, and document analysis, reducing misinterpretation risks in critical areas.