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Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
2018
Proceedings of the 22nd Conference on Computational Natural Language Learning
Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Supervised keyphrase extraction requires large amounts of labeled training data and generalizes very poorly outside the domain of the training data. At the same time, unsupervised systems have poor accuracy, and often do not generalize well, as they require the input document to belong to a larger corpus also given as input. Addressing these drawbacks, in this paper,
doi:10.18653/v1/k18-1022
dblp:conf/conll/Bennani-SmiresM18
fatcat:7jijbce5g5du7ccwmnyepvx2vm