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Web Document Encoding for Structure-Aware Keyphrase Extraction
Cited 3 time in
Web of Science
Cited 4 time in Scopus
- Authors
- Issue Date
- 2021-07
- Publisher
- Association for Computing Machinery, Inc
- Citation
- SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.1823-1827
- Abstract
- © 2021 ACM.We study keyphrase extraction (KPE) from Web documents. Our key contribution is encoding Web documents to leverage structure, such as title or anchors, by building a graph of words representing both (a) position-based proximity and (b) structural relations. We evaluate KPE performance on real-world search engine NAVER and human-annotated KPE benchmarks, and ours outperforms state-of-the-arts in both tasks.
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