Keyword Extraction
Keyword extraction aims to identify the most salient words or phrases within a text, facilitating tasks like document summarization, information retrieval, and topic modeling. Current research emphasizes improving accuracy and robustness across diverse domains and languages, often leveraging techniques like deep learning models (e.g., convolutional neural networks, transformers) and incorporating domain-specific knowledge or contextual information to enhance performance. These advancements are crucial for various applications, including improved search engine functionality, efficient data analysis in diverse fields (e.g., scientific literature, customer reviews), and enhanced natural language processing capabilities.
Papers
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