Keyphrase Extraction with Span-based Feature Representations

Understand

Keyphrases are capable of providing semantic metadata characterizing documents and producing an overview of the content of a document.

• Since keyphrase extraction is able to facilitate the management, categorization, and retrieval of information, it has received much attention in recent years.
• There are three approaches to address keyphrase extraction: (i) traditional two-step ranking method, (ii) sequence labeling and (iii) generation using neural networks.
• Two-step ranking approach is based on feature engineering, which is labor intensive and domain dependent.