Skip to main content
main-content

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

Erschienen in: Soft Computing 8/2020

29.03.2019 | Focus

Automatic keyphrase extraction using word embeddings

verfasst von: Yuxiang Zhang, Huan Liu, Suge Wang, W. H. Ip., Wei Fan, Chunjing Xiao

Erschienen in: Soft Computing | Ausgabe 8/2020

Einloggen, um Zugang zu erhalten
share
TEILEN

Abstract

Unsupervised random-walk keyphrase extraction models mainly rely on global structural information of the word graph, with nodes representing candidate words and edges capturing the co-occurrence information between candidate words. However, using word embedding method to integrate multiple kinds of useful information into the random-walk model to help better extract keyphrases is relatively unexplored. In this paper, we propose a random-walk-based ranking method to extract keyphrases from text documents using word embeddings. Specifically, we first design a heterogeneous text graph embedding model to integrate local context information of the word graph (i.e., the local word collocation patterns) with some crucial features of candidate words and edges of the word graph. Then, a novel random-walk-based ranking model is designed to score candidate words by leveraging such learned word embeddings. Finally, a new and generic similarity-based phrase scoring model using word embeddings is proposed to score phrases for selecting top-scoring phrases as keyphrases. Experimental results show that the proposed method consistently outperforms eight state-of-the-art unsupervised methods on three real datasets for keyphrase extraction.

Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 15 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 15 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 15 Tage kostenlos.

Literatur
Zurück zum Zitat Alrehamy H, Walker C (2018) Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction. Soft Comput 22(21):7041–7057 CrossRef Alrehamy H, Walker C (2018) Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction. Soft Comput 22(21):7041–7057 CrossRef
Zurück zum Zitat Artetxe M, Labaka G, Agirre E (2018) A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. In: Proceedings of ACL, pp 789–798 Artetxe M, Labaka G, Agirre E (2018) A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings. In: Proceedings of ACL, pp 789–798
Zurück zum Zitat Baeza-Yates R, Ribeiro BAN et al (2011) Modern information retrieval. ACM Press/Addison-Wesley, New York/Harlow Baeza-Yates R, Ribeiro BAN et al (2011) Modern information retrieval. ACM Press/Addison-Wesley, New York/Harlow
Zurück zum Zitat Bengio Y, Courville A, Vincent P (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell (TPAMI) 35(8):1798–1828 CrossRef Bengio Y, Courville A, Vincent P (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell (TPAMI) 35(8):1798–1828 CrossRef
Zurück zum Zitat Bhattacharya I, Godbole S, Joshi S (2008) Structured entity identification and document categorization: two tasks with one joint model. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, Las Vegas, 24–27 Aug 2008. ACM, New York, pp 25–33. https://​doi.​org/​10.​1145/​1401890.​1401899 Bhattacharya I, Godbole S, Joshi S (2008) Structured entity identification and document categorization: two tasks with one joint model. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, Las Vegas, 24–27 Aug 2008. ACM, New York, pp 25–33. https://​doi.​org/​10.​1145/​1401890.​1401899
Zurück zum Zitat Bird S, Klein E, Loper E (2009) Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc., Sebastopol MATH Bird S, Klein E, Loper E (2009) Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc., Sebastopol MATH
Zurück zum Zitat Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3(1):993–1022 MATH Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3(1):993–1022 MATH
Zurück zum Zitat Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. Trans Assoc Comput Linguist (TACL) 5:135–146 CrossRef Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. Trans Assoc Comput Linguist (TACL) 5:135–146 CrossRef
Zurück zum Zitat Boudin F (2013) A comparison of centrality measures for graph-based keyphrase extraction. In: Proceedings of IJCNLP, pp 834–838 Boudin F (2013) A comparison of centrality measures for graph-based keyphrase extraction. In: Proceedings of IJCNLP, pp 834–838
Zurück zum Zitat Boudin F (2015) Reducing over-generation errors for automatic keyphrase extraction using integer linear programming. In: Proceedings of ACL workshop on novel computational approaches to keyphrase extraction, pp 19–24 Boudin F (2015) Reducing over-generation errors for automatic keyphrase extraction using integer linear programming. In: Proceedings of ACL workshop on novel computational approaches to keyphrase extraction, pp 19–24
Zurück zum Zitat Bulgarov F, Caragea C (2015) A comparison of supervised keyphrase extraction models. In: Proceedings of WWW, pp 13–14 Bulgarov F, Caragea C (2015) A comparison of supervised keyphrase extraction models. In: Proceedings of WWW, pp 13–14
Zurück zum Zitat Caragea C, Bulgarov F, Godea A, Gollapalli SD (2014) Citation-enhanced keyphrase extraction from research papers: a supervised approach. In: Proceedings of EMNLP, pp 1435–1446 Caragea C, Bulgarov F, Godea A, Gollapalli SD (2014) Citation-enhanced keyphrase extraction from research papers: a supervised approach. In: Proceedings of EMNLP, pp 1435–1446
Zurück zum Zitat Chuang J, Manning CD, Heer J (2012) Termite: visualization techniques for assessing textual topic models. In: Proceedings of the international working conference on advanced visual interfaces, pp 74–77 Chuang J, Manning CD, Heer J (2012) Termite: visualization techniques for assessing textual topic models. In: Proceedings of the international working conference on advanced visual interfaces, pp 74–77
Zurück zum Zitat Collobert R, Weston J, Bottou L, Karlen M, Kavukcuoglu K, Kuksa P (2011) Natural language processing (almost) from scratch. J Mach Learn Res 12(8):2493–2537 MATH Collobert R, Weston J, Bottou L, Karlen M, Kavukcuoglu K, Kuksa P (2011) Natural language processing (almost) from scratch. J Mach Learn Res 12(8):2493–2537 MATH
Zurück zum Zitat Conneau A, Lample G, Ranzato M, Denoyer L, Jégou H (2018) Word translation without parallel data. In: Proceedings of ICLR, pp 1–14 Conneau A, Lample G, Ranzato M, Denoyer L, Jégou H (2018) Word translation without parallel data. In: Proceedings of ICLR, pp 1–14
Zurück zum Zitat Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26(3):297–302 CrossRef Dice LR (1945) Measures of the amount of ecologic association between species. Ecology 26(3):297–302 CrossRef
Zurück zum Zitat Din S, Paul A, Ahmad A, Gupta B, Rho S (2018) Service orchestration of optimizing continuous features in industrial surveillance using big data based fog-enabled internet of things. IEEE Access 6:21582–21591 CrossRef Din S, Paul A, Ahmad A, Gupta B, Rho S (2018) Service orchestration of optimizing continuous features in industrial surveillance using big data based fog-enabled internet of things. IEEE Access 6:21582–21591 CrossRef
Zurück zum Zitat Florescu C, Caragea C (2017) Positionrank: an unsupervised approach to keyphrase extraction from scholarly documents. In: Proceedings of ACL, pp 1105–1115 Florescu C, Caragea C (2017) Positionrank: an unsupervised approach to keyphrase extraction from scholarly documents. In: Proceedings of ACL, pp 1105–1115
Zurück zum Zitat Frank E, Paynter GW, Witten IH, Gutwin C, Nevill-Manning CG (1999) Domain-specific keyphrase extraction. In: Proceedings of EMNLP, pp 668–673 Frank E, Paynter GW, Witten IH, Gutwin C, Nevill-Manning CG (1999) Domain-specific keyphrase extraction. In: Proceedings of EMNLP, pp 668–673
Zurück zum Zitat Gollapalli SD, Caragea C (2014) Extracting keyphrases from research papers using citation networks. In: Proceedings of AAAI, pp 1629–1635 Gollapalli SD, Caragea C (2014) Extracting keyphrases from research papers using citation networks. In: Proceedings of AAAI, pp 1629–1635
Zurück zum Zitat Gollapalli SD, Li X, Yang P (2017) Incorporating expert knowledge into keyphrase extraction. In: Proceedings of AAAI, pp 3180–3187 Gollapalli SD, Li X, Yang P (2017) Incorporating expert knowledge into keyphrase extraction. In: Proceedings of AAAI, pp 3180–3187
Zurück zum Zitat Gupta BB (2018) Computer and cyber security: principles, algorithm, applications, and perspectives. CRC Press, Boca Raton Gupta BB (2018) Computer and cyber security: principles, algorithm, applications, and perspectives. CRC Press, Boca Raton
Zurück zum Zitat Hasan KS, Ng V (2010) Conundrums in unsupervised keyphrase extraction: making sense of the state-of-the-art. In: Proceedings of COLING: Posters, pp 365–373 Hasan KS, Ng V (2010) Conundrums in unsupervised keyphrase extraction: making sense of the state-of-the-art. In: Proceedings of COLING: Posters, pp 365–373
Zurück zum Zitat Hasan KS, Ng V (2014) Automatic keyphrase extraction: a survey of the state of the art. In: Proceedings of ACL, pp 1262–1273 Hasan KS, Ng V (2014) Automatic keyphrase extraction: a survey of the state of the art. In: Proceedings of ACL, pp 1262–1273
Zurück zum Zitat Jones S, Staveley MS (1999) Phrasier: a system for interactive document retrieval using keyphrases. In: Proceedings of SIGIR, pp 160–167 Jones S, Staveley MS (1999) Phrasier: a system for interactive document retrieval using keyphrases. In: Proceedings of SIGIR, pp 160–167
Zurück zum Zitat Krapivin M, Autayeu A, Marchese M, Blanzieri E, Segata N (2010) Keyphrases extraction from scientific documents: improving machine learning approaches with natural language processing. In: Proceedings of ICADL, pp 102–111 Krapivin M, Autayeu A, Marchese M, Blanzieri E, Segata N (2010) Keyphrases extraction from scientific documents: improving machine learning approaches with natural language processing. In: Proceedings of ICADL, pp 102–111
Zurück zum Zitat Levy O, Goldberg Y (2014) Dependency-based word embeddings. Proc ACL 2:302–308 Levy O, Goldberg Y (2014) Dependency-based word embeddings. Proc ACL 2:302–308
Zurück zum Zitat Liu Z, Huang W, Zheng Y, Sun M (2010) Automatic keyphrase extraction via topic decomposition. In: Proceedings of EMNLP, pp 366–376 Liu Z, Huang W, Zheng Y, Sun M (2010) Automatic keyphrase extraction via topic decomposition. In: Proceedings of EMNLP, pp 366–376
Zurück zum Zitat Liu Y, Liu Z, Chua TS, Sun M (2015) Topical word embeddings. In: Proceedings of AAAI, pp 2418–2424 Liu Y, Liu Z, Chua TS, Sun M (2015) Topical word embeddings. In: Proceedings of AAAI, pp 2418–2424
Zurück zum Zitat Lopez P, Romary L (2010) Humb: automatic key term extraction from scientific articles in GROBID. In: Proceedings of workshop on semantic evaluation, pp 248–251 Lopez P, Romary L (2010) Humb: automatic key term extraction from scientific articles in GROBID. In: Proceedings of workshop on semantic evaluation, pp 248–251
Zurück zum Zitat Luo J, Meng B, Quan C, Tu X (2015) Exploiting salient semantic analysis for information retrieval. Enterp Inf Syst 10(9):959–969 CrossRef Luo J, Meng B, Quan C, Tu X (2015) Exploiting salient semantic analysis for information retrieval. Enterp Inf Syst 10(9):959–969 CrossRef
Zurück zum Zitat Manning CD, Raghavan P, Schütze H (2008) Introduction to information retrieval. Cambridge University Press, Cambridge CrossRef Manning CD, Raghavan P, Schütze H (2008) Introduction to information retrieval. Cambridge University Press, Cambridge CrossRef
Zurück zum Zitat Mihalcea R, Tarau P (2004) Textrank: bringing order into text. In: Proceedings of EMNLP, pp 404–411 Mihalcea R, Tarau P (2004) Textrank: bringing order into text. In: Proceedings of EMNLP, pp 404–411
Zurück zum Zitat Mikolov T, Chen K, Corrado G, Dean J (2013a) Efficient estimation of word representations in vector space. In: Proceedings of ICLR workshop Mikolov T, Chen K, Corrado G, Dean J (2013a) Efficient estimation of word representations in vector space. In: Proceedings of ICLR workshop
Zurück zum Zitat Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013b) Distributed representations of words and phrases and their compositionality. In: Proceedings of NIPS, pp 3111–3119 Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013b) Distributed representations of words and phrases and their compositionality. In: Proceedings of NIPS, pp 3111–3119
Zurück zum Zitat Nedjah N, Wyant RS, Mourelle L, Gupta B (2017) Efficient yet robust biometric iris matching on smart cards for data high security and privacy. Fut Gener Comput Syst 76:18–32 CrossRef Nedjah N, Wyant RS, Mourelle L, Gupta B (2017) Efficient yet robust biometric iris matching on smart cards for data high security and privacy. Fut Gener Comput Syst 76:18–32 CrossRef
Zurück zum Zitat Page L, Brin S, Motwani R, Winograd T (1999) The pagerank citation ranking: bringing order to the web. Technical report, Stanford InfoLab Page L, Brin S, Motwani R, Winograd T (1999) The pagerank citation ranking: bringing order to the web. Technical report, Stanford InfoLab
Zurück zum Zitat Pennington J, Socher R, Manning C (2014) Glove: global vectors for word representation. In: Proceedings of EMNLP, pp 1532–1543 Pennington J, Socher R, Manning C (2014) Glove: global vectors for word representation. In: Proceedings of EMNLP, pp 1532–1543
Zurück zum Zitat Peters M, Neumann M, Iyyer M, Gardner M, Clark C, Lee K, Zettlemoyer L (2018) Deep contextualized word representations. In: Proceedings of NAACL, pp 2227–2237 Peters M, Neumann M, Iyyer M, Gardner M, Clark C, Lee K, Zettlemoyer L (2018) Deep contextualized word representations. In: Proceedings of NAACL, pp 2227–2237
Zurück zum Zitat Plageras AP, Psannis KE, Stergiou C, Wang H, Gupta BB (2018) Efficient iot-based sensor big data collection-processing and analysis in smart buildings. Fut Gener Comput Syst 82:349–357 CrossRef Plageras AP, Psannis KE, Stergiou C, Wang H, Gupta BB (2018) Efficient iot-based sensor big data collection-processing and analysis in smart buildings. Fut Gener Comput Syst 82:349–357 CrossRef
Zurück zum Zitat Porter M (2006) An algorithm for suffix stripping. Program Electron Libr Inf Syst 40(3):211–218 Porter M (2006) An algorithm for suffix stripping. Program Electron Libr Inf Syst 40(3):211–218
Zurück zum Zitat Qazvinian V, Radev DR, Özgür A (2010) Citation summarization through keyphrase extraction. In: Proceedings of COLING, pp 895–903 Qazvinian V, Radev DR, Özgür A (2010) Citation summarization through keyphrase extraction. In: Proceedings of COLING, pp 895–903
Zurück zum Zitat Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323(6088):533–536 CrossRef Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323(6088):533–536 CrossRef
Zurück zum Zitat Shi B, Lam W, Jameel S, Schockaert S, Lai KP (2017) Jointly learning word embeddings and latent topics. In: Proceedings of SIGIR, pp 375–384 Shi B, Lam W, Jameel S, Schockaert S, Lai KP (2017) Jointly learning word embeddings and latent topics. In: Proceedings of SIGIR, pp 375–384
Zurück zum Zitat Shtok A, Kurland O, Carmel D (2010) Using statistical decision theory and relevance models for query-performance prediction. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval, Geneva, 19–23 July 2010. ACM, New York, pp 259–266. https://​doi.​org/​10.​1145/​1835449.​1835494 Shtok A, Kurland O, Carmel D (2010) Using statistical decision theory and relevance models for query-performance prediction. In: Proceedings of the 33rd international ACM SIGIR conference on research and development in information retrieval, Geneva, 19–23 July 2010. ACM, New York, pp 259–266. https://​doi.​org/​10.​1145/​1835449.​1835494
Zurück zum Zitat Sterckx L, Demeester T, Deleu J, Develder C (2015) Topical word importance for fast keyphrase extraction. In: Proceedings of WWW, pp 121–122 Sterckx L, Demeester T, Deleu J, Develder C (2015) Topical word importance for fast keyphrase extraction. In: Proceedings of WWW, pp 121–122
Zurück zum Zitat Sterckx L, Caragea C, Demeester T, Develder C (2016) Supervised keyphrase extraction as positive unlabeled learning. In: Proceedings of EMNLP, pp 1924–1929 Sterckx L, Caragea C, Demeester T, Develder C (2016) Supervised keyphrase extraction as positive unlabeled learning. In: Proceedings of EMNLP, pp 1924–1929
Zurück zum Zitat Tang J, Qu M, Mei Q (2015a) Pte: predictive text embedding through large-scale heterogeneous text networks. In: Proceedings of SIGKDD, pp 1165–1174 Tang J, Qu M, Mei Q (2015a) Pte: predictive text embedding through large-scale heterogeneous text networks. In: Proceedings of SIGKDD, pp 1165–1174
Zurück zum Zitat Tang J, Qu M, Wang M, Zhang M, Yan J, Mei Q (2015b) Line: large-scale information network embedding. In: Proceedings of WWW, pp 1067–1077 Tang J, Qu M, Wang M, Zhang M, Yan J, Mei Q (2015b) Line: large-scale information network embedding. In: Proceedings of WWW, pp 1067–1077
Zurück zum Zitat Tang Y, Huang W, Liu Q, Tung AK, Wang X, Yang J, Zhang B (2017) Qalink: enriching text documents with relevant Q&A site contents. In: Proceedings of CIKM, pp 1359–1368 Tang Y, Huang W, Liu Q, Tung AK, Wang X, Yang J, Zhang B (2017) Qalink: enriching text documents with relevant Q&A site contents. In: Proceedings of CIKM, pp 1359–1368
Zurück zum Zitat Teneva N, Cheng W (2017) Salience rank: efficient keyphrase extraction with topic modeling. In: Proceedings of ACL, pp 530–535 Teneva N, Cheng W (2017) Salience rank: efficient keyphrase extraction with topic modeling. In: Proceedings of ACL, pp 530–535
Zurück zum Zitat Turney PD (2000) Learning algorithms for keyphrase extraction. Inf Retr J 2(4):303–336 CrossRef Turney PD (2000) Learning algorithms for keyphrase extraction. Inf Retr J 2(4):303–336 CrossRef
Zurück zum Zitat Wan X, Xiao J (2008) Single document keyphrase extraction using neighborhood knowledge. In: Proceedings of AAAI, pp 855–860 Wan X, Xiao J (2008) Single document keyphrase extraction using neighborhood knowledge. In: Proceedings of AAAI, pp 855–860
Zurück zum Zitat Wang R, Liu W, McDonald C (2015) Corpus-independent generic keyphrase extraction using word embedding vectors. In: Proceedings of DL-WSDM, pp 39–46 Wang R, Liu W, McDonald C (2015) Corpus-independent generic keyphrase extraction using word embedding vectors. In: Proceedings of DL-WSDM, pp 39–46
Zurück zum Zitat Wang Y, Jin Y, Zhu X, Goutte C (2016) Extracting discriminative keyphrases with learned semantic hierarchies. In: Proceedings of COLING, pp 932–942 Wang Y, Jin Y, Zhu X, Goutte C (2016) Extracting discriminative keyphrases with learned semantic hierarchies. In: Proceedings of COLING, pp 932–942
Zurück zum Zitat Wieting J, Bansal M, Gimpel K, Livescu K (2016) Charagram: embedding words and sentences via character \(n\)-grams. In: Proceedings of EMNLP, pp 1504–1515 Wieting J, Bansal M, Gimpel K, Livescu K (2016) Charagram: embedding words and sentences via character \(n\)-grams. In: Proceedings of EMNLP, pp 1504–1515
Zurück zum Zitat Zhang W, Feng W, Wang J (2013) Integrating semantic relatedness and words’ intrinsic features for keyword extraction. In: Proceedings of IJCAI, pp 139–160 Zhang W, Feng W, Wang J (2013) Integrating semantic relatedness and words’ intrinsic features for keyword extraction. In: Proceedings of IJCAI, pp 139–160
Zurück zum Zitat Zhang W, Ming Z, Zhang Y, Liu T, Chua TS (2015) Exploring key concept paraphrasing based on pivot language translation for question retrieval. In: Proceedings of AAAI, pp 410–416 Zhang W, Ming Z, Zhang Y, Liu T, Chua TS (2015) Exploring key concept paraphrasing based on pivot language translation for question retrieval. In: Proceedings of AAAI, pp 410–416
Zurück zum Zitat Zhang Q, Wang Y, Gong Y, Huang X (2016) Keyphrase extraction using deep recurrent neural networks on Twitter. In: Proceedings of EMNLP, pp 836–844 Zhang Q, Wang Y, Gong Y, Huang X (2016) Keyphrase extraction using deep recurrent neural networks on Twitter. In: Proceedings of EMNLP, pp 836–844
Zurück zum Zitat Zhang Y, Chang Y, Liu X, Gollapalli SD, Li X, Xiao C (2017) Mike: keyphrase extraction by integrating multidimensional information. In: Proceedings of CIKM, pp 1349–1358 Zhang Y, Chang Y, Liu X, Gollapalli SD, Li X, Xiao C (2017) Mike: keyphrase extraction by integrating multidimensional information. In: Proceedings of CIKM, pp 1349–1358
Zurück zum Zitat Zhang Z, Gao J, Ciravegna F (2018) Semre-rank: Improving automatic term extraction by incorporating semantic relatedness with personalised pagerank. ACM Trans Knowl Dis Data (TKDD) 12(5):57:1–57:41 Zhang Z, Gao J, Ciravegna F (2018) Semre-rank: Improving automatic term extraction by incorporating semantic relatedness with personalised pagerank. ACM Trans Knowl Dis Data (TKDD) 12(5):57:1–57:41
Metadaten
Titel
Automatic keyphrase extraction using word embeddings
verfasst von
Yuxiang Zhang
Huan Liu
Suge Wang
W. H. Ip.
Wei Fan
Chunjing Xiao
Publikationsdatum
29.03.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 8/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-03963-y

Weitere Artikel der Ausgabe 8/2020

Soft Computing 8/2020 Zur Ausgabe

Premium Partner