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Keyphrase extraction is the process of automatically selecting a small set of most relevant phrases from a given text.
The pagerank citation ranking : Bringing order to the web
Page, L., Brin, S., Motwani, R., and Winograd, T. (1999) · 1999
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Improved automatic keyword extraction given more linguistic knowledge
Hulth, A. (2003) · 2003
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TextRank: Bringing order into text
Mihalcea, R. and Tarau, P. (2004) · 2004
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World wide web site summarization
Zhang, Y., Zincir-Heywood, N., and Milios, E. (2004) · 2004
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A study on automatically extracted keywords in text categorization
Hulth, A. and Megyesi, B. B. (2006) · 2006
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Keyphrase extraction-based query expansion in digital libraries
Song, M., Song, I. Y., Allen, R. B., and Obradovic, Z. (2006) · 2006
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CollabRank: Towards a collaborative approach to single-document keyphrase extraction
Wan, X. and Xiao, J. (2008) · 2008
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Automatic keyword extraction from individual documents
Rose, S. J., Engel, D. W., Cramer, N., and Cowley, W. (2010) · 2010
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Automatic keyphrase extraction from scientific articles
Kim, S. N., Medelyan, O., Kan, M.-Y., and Baldwin, T. (2012) · 2012
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Citation-enhanced keyphrase extraction from research papers: A supervised approach
Caragea, C., Bulgarov, F. A., Godea, A., and Das Gollapalli, S. (2014) · 2014
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Distributed representations of sentences and documents
Le, Q. and Mikolov, T. (2014) · 2014
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Main core retention on graph-of-words for single-document keyword extraction
Rousseau, F. and Vazirgiannis, M. (2015) · 2015
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Using word embeddings to enhance keyword identification for scientific publications
Wang, R., Liu, W., and McDonald, C. (2015) · 2015
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SemEval 2017 task 10: ScienceIE - extracting keyphrases and relations from scientific publications
Augenstein, I., Das, M., Riedel, S., Vikraman, L., and McCallum, A. (2017) · 2017
Cited alongside, same era.
Deep keyphrase generation
Meng, R., Zhao, S., Han, S., He, D., Brusilovsky, P., and Chi, Y. (2017) · 2017
BERT: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019) · 2019
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A review of keyphrase extraction
Papagiannopoulou, E. and Tsoumakas, G. (2019) · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Reimers, N. and Gurevych, I. (2019) · 2019
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Self-supervised contextual keyword and keyphrase retrieval with self-labelling
Sharma, P. and Li, Y. (2019) · 2019
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Yake! keyword extraction from single documents using multiple local features
Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., and Jatowt, A. (2020) · 2020
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Keybert: Minimal keyword extraction with bert
Grootendorst, M. (2020) · 2020
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Keyphrase extraction using knowledge graphs
Shi, W., Zheng, W., Yu, J. X., Cheng, H., and Zou, L. (2017) · 2017
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Simple unsupervised keyphrase extraction using sentence embeddings
Bennani-Smires, K., Musat, C., Hossmann, A., Baeriswyl, M., and Jaggi, M. (2018) · 2018
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Unsupervised learning of sentence embeddings using compositional n-gram features
Pagliardini, M., Gupta, P., and Jaggi, M. (2018) · 2018
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The language of engineering: Training a domain-specific word embedding model for engineering
Braun, D., Klymenko, O., Schopf, T., Kaan Akan, Y., and Matthes, F. (2021) · 2021
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Lbl2vec: An embedding-based approach for unsupervised document retrieval on predefined topics
Schopf, T., Braun, D., and Matthes, F. (2021) · 2021
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Towards bilingual word embedding models for engineering: Evaluating semantic linking capabilities of engineering-specific word embeddings across languages
Schopf, T., Weinberger, P., Kinkeldei, T., and Matthes, F. (2022) · 2022
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