A Position-Biased PageRank Algorithm for Keyphrase Extraction
DOI:
https://doi.org/10.1609/aaai.v31i1.11082Keywords:
keyphrase extraction, biased-PageRank, position informationAbstract
Given the large amounts of online textual documents available these days, e.g., news articles and scientific papers, effective methods for extracting keyphrases, which provide a high-level topic description of a document, are greatly needed.We propose PositionRank, an unsupervised graph-based approach to keyphrase extraction that incorporates information from all positions of a word's occurrences into a biased PageRank to extract keyphrases. Our model obtains remarkable improvements in performance over strong baselines.
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Published
2017-02-12
How to Cite
Florescu, C., & Caragea, C. (2017). A Position-Biased PageRank Algorithm for Keyphrase Extraction. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.11082
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Student Abstract Track