Keyphrase Extraction


Keyphrases are words that capture the main topics of a document. Extracting high- quality keyphrases can benefit various natural language processing (NLP) applications: in text summarization, keyphrases are useful as a form of semantic metadata indicating the significance of sentences and paragraphs, in which they appear; in both text categorization and document clustering, keyphrases offer a means of term dimensionality reduction, and have been shown to improve system efficiency and accuracy; and for search engines, keyphrases can supplement full-text indexing and assist users in formulating queries.



Prasad, Animesh; Kan, Min-Yen

WING-NUS at SemEval-2017 Task 10: Keyphrase Identification and Classification as Joint Sequence Labeling Conference

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017.

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Kim, Su Nam; Medelyan, Olena; Kan, Min-Yen; Baldwin, Timothy

Automatic keyphrase extraction from scientific articles Conference

Language Resources and Evaluation, 2012.

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Kim, Su Nam; Baldwin, Timothy; Kan, Min-Yen

Evaluating N-gram based Evaluation Metrics for Automatic Keyphrase Extraction Conference

Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), 2010.

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Kim, Su Nam; Medelyan, Alyona; Baldwin, Timothy; Kan, Min-Yen

SemEval-2010 Task 5: Automatic Keyphrase Extraction from Scientific Articles Conference

Proceedings of SemEval-2, 2010.

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Nguyen, Thuy Dung; Luong, Minh-Thang

WINGNUS: Keyphrase Extraction Utilizing Document Logical Structure Conference

Proceedings of the ACL 2010 Workshop on Evaluation Exercises on Semantic Evaluation (SemEval 2010), 2010.

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Kim, Su Nam; Kan, Min-Yen

Re-examining Automatic Keyphrase Extraction Approaches in Scientific Articles Conference

Proceedings of the ACL-IJCNLP 2009 Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, 2009.

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Nguyen, Thuy Dung; Kan, Min-Yen

Keyphrase Extraction in Scientific Publications Conference

Proceedings of International Conference on Asian Digital Libraries (ICADL '07), 2007.

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