Designing and developing an automatic interactive keyphrase extraction system with Unified Modeling Language (UML)

Song, Min; Song, Il Yeol; Hu, Xiaohua

doi:10.1002/meet.1450410143

Cited by 1 publication

(2 citation statements)

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“…Detailed descriptions are provided in the following subsections. These keyphrase extraction procedures have proven effective in other information extraction studies (e.g., [6,23]). …”

Section: Keyphrase Extraction Proceduresmentioning

confidence: 99%

“…We combine the following four POS tagging techniques such as 1) NLParser, 2) Link-Grammar, 3) PCKimmo, and 4) Brill's tagger to improve POS tagging accuracy. This combined approach to POS techniques enables us to assign the best tag to lexical tokens, constituting candidate phrases by utilizing optimal features of each POS technique [23].…”

Section: Feature Selectionmentioning

confidence: 99%

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Keyphrase extraction-based query expansion in digital libraries

Song

Allen

et al. 2006

Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries

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In pseudo-relevance feedback, the two key factors affecting the retrieval performance most are the source from which expansion terms are generated and the method of ranking those expansion terms. In this paper, we present a novel unsupervised query expansion technique that utilizes keyphrases and POS phrase categorization. The keyphrases are extracted from the retrieved documents and weighted with an algorithm based on information gain and co-occurrence of phrases. The selected keyphrases are translated into Disjunctive Normal Form (DNF) based on the POS phrase categorization technique for better query refomulation. Furthermore, we study whether ontologies such as WordNet and MeSH improve the retrieval performance in conjunction with the keyphrases. We test our techniques on TREC 5, 6, and 7 as well as a MEDLINE collection. The experimental results show that the use of keyphrases with POS phrase categorization produces the best average precision.

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“…Detailed descriptions are provided in the following subsections. These keyphrase extraction procedures have proven effective in other information extraction studies (e.g., [6,23]). …”

Section: Keyphrase Extraction Proceduresmentioning

confidence: 99%

Section: Feature Selectionmentioning

confidence: 99%