A Supervised KeyPhrase Extraction System
| Title | A Supervised KeyPhrase Extraction System |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | John, Adebayo Kolawole, Di Caro, Luigi, Boella, Guido |
| Conference Name | Proceedings of the 12th International Conference on Semantic Systems |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4752-5 |
| Keywords | composability, keyphrase, Keywords, pubcrawl, Random Forest, Resiliency, web of trust |
| Abstract | In this paper, we present a multi-featured supervised automatic keyword extraction system. We extracted salient semantic features which are descriptive of candidate keyphrases, a Random Forest classifier was used for training. The system achieved an accuracy of 58.3 % precision and has shown to outperform two top performing systems when benchmarked on a crowdsourced dataset. Furthermore, our approach achieved a personal best Precision and F-measure score of 32.7 and 25.5 respectively on the Semeval Keyphrase extraction challenge dataset. The paper describes the approaches used as well as the result obtained. |
| URL | http://doi.acm.org/10.1145/2993318.2993323 |
| DOI | 10.1145/2993318.2993323 |
| Citation Key | john_supervised_2016 |