Keyphrase Extraction
47 papers with code • 9 benchmarks • 6 datasets
A classic task to extract salient phrases that best summarize a document, which essentially has two stages: candidate generation and keyphrase ranking.
Benchmarks
These leaderboards are used to track progress in Keyphrase Extraction
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KP20k
SemEval-2017 Task-10
Most implemented papers
Keyphrase Cloud Generation of Broadcast News
This paper describes an enhanced automatic keyphrase extraction method applied to Broadcast News.
How Document Pre-processing affects Keyphrase Extraction Performance
The SemEval-2010 benchmark dataset has brought renewed attention to the task of automatic keyphrase extraction.
pke: an open source python-based keyphrase extraction toolkit
We describe pke, an open source python-based keyphrase extraction toolkit.
Local Word Vectors Guiding Keyphrase Extraction
Automated keyphrase extraction is a fundamental textual information processing task concerned with the selection of representative phrases from a document that summarize its content.
Unsupervised Keyphrase Extraction with Multipartite Graphs
We propose an unsupervised keyphrase extraction model that encodes topical information within a multipartite graph structure.
Unsupervised Keyphrase Extraction from Scientific Publications
It then uses the minimum covariance determinant estimator to model the distribution of non-keyphrase word vectors, under the assumption that these vectors come from the same distribution, indicative of their irrelevance to the semantics expressed by the dimensions of the learned vector representation.
Complex Network based Supervised Keyword Extractor
This shows that the proposed method is independent of the domain, collection, and language of the training corpora.
Large-Scale Evaluation of Keyphrase Extraction Models
Keyphrase extraction models are usually evaluated under different, not directly comparable, experimental setups.
