The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Improved automatic keyword extraction given more linguistic knowledge
Open accessAbstract
In this paper, experiments on automatic extraction of keywords from abstracts using a supervised machine learning algorithm are discussed. The main point of this paper is that by adding linguistic knowledge to the representation (such as syntactic features), rather than relying only on statistics (such as term frequency and n-grams), a better result is obtained as measured by keywords previously assigned by professional indexers. In more detail, extracting NP-chunks gives a better precision than n-grams, and by adding the PoS tag(s) assigned to the term as a feature, a dramatic improvement of the results is obtained, independent of the term selection approach applied.
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Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Cited by
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Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., & Jatowt, A. (2020) · Information Sciences · doi:10.1016/j.ins.2019.09.013 · Cited by 668
Ensemble of keyword extraction methods and classifiers in text classification
Onan, A., Korukoğlu, S., & Bulut, H. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.03.045 · Cited by 630
Sentiment analysis: A survey on design framework, applications and future scopes
Bordoloi, M., & Biswas, S. K. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10442-2 · Cited by 183
Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
Caragea, C., Bulgarov, F. A., Godea, A., & Das Gollapalli, S. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1150 · Cited by 134
SumPubMed: Summarization Dataset of PubMed Scientific Articles
Gupta, V., Bharti, P., Nokhiz, P., & Karnick, H. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop · doi:10.18653/v1/2021.acl-srw.30 · Cited by 43
Metadata
- Authors
- Hulth, A.
- Venue
- Proceedings of the 2003 conference on Empirical methods in natural language processing -
- Published
- 2003
- Volume
- 10
- Pages
- 216-223
- OpenAlex
- W2064418625
- Cited by
- 951
- References
- 1
- FWCI
- 3.68
- Type
- conference paper
- Language
- en
- Open access
- bronze
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