{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T15:01:15Z","timestamp":1761490875470,"version":"3.37.3"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00500-019-04486-2","type":"journal-article","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T08:03:16Z","timestamp":1573545796000},"page":"8233-8242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A deep extraction model for an unseen keyphrase detection"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9486-3047","authenticated-orcid":false,"given":"Amin","family":"Ghazi Zahedi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Morteza","family":"Zahedi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mansoor","family":"Fateh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,12]]},"reference":[{"issue":"21","key":"4486_CR1","doi-asserted-by":"publisher","first-page":"7041","DOI":"10.1007\/s00500-018-3414-4","volume":"22","author":"H Alrehamy","year":"2018","unstructured":"Alrehamy H, Walker C (2018) Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction. Soft Comput 22(21):7041\u20137057","journal-title":"Soft Comput"},{"key":"4486_CR2","unstructured":"Andrew G, Arora R, Bilmes J, Livescu K (2013) Deep canonical correlation analysis. In: International conference on machine learning, vol 28, pp 1247\u201355"},{"key":"4486_CR3","doi-asserted-by":"crossref","unstructured":"Atarashi K (2018) Semi-supervised learning from crowds using deep generative models, pp 1555\u20131562","DOI":"10.1609\/aaai.v32i1.11513"},{"key":"4486_CR4","unstructured":"Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate, pp 1\u201315"},{"issue":"8","key":"4486_CR5","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/TPAMI.2012.230","volume":"35","author":"J Bruna","year":"2013","unstructured":"Bruna J, Mallat S (2013) Invariant scattering convolution networks. IEEE Trans Pattern Anal Mach Intell 35(8):1872\u20131886","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"4486_CR6","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1109\/TKDE.2010.165","volume":"23","author":"D Cai","year":"2011","unstructured":"Cai D, He X, Han J (2011) Locally consistent concept factorization for document clustering. IEEE Trans Knowl Data Eng 23(6):902\u2013913","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4486_CR7","doi-asserted-by":"crossref","unstructured":"De Soete G, Carroll JD (1994) K-means clustering in a low-dimensional Euclidean space. In: New approaches in classification and data analysis. Springer, pp 212\u201319","DOI":"10.1007\/978-3-642-51175-2_24"},{"key":"4486_CR8","doi-asserted-by":"crossref","unstructured":"Grineva M, Grinev M, Lizorkin D (2009) Extracting key terms from noisy and multitheme documents. In: Proceedings of the 18th international conference on world wide web\u2014WWW \u201909. ACM Press, New York","DOI":"10.1145\/1526709.1526798"},{"key":"4486_CR9","doi-asserted-by":"crossref","unstructured":"Gu J, Lu Z, Li H, Li VOK (2016) Incorporating copying mechanism in sequence-to-sequence learning. In: Proceedings of the 54th annual meeting of the association for computational linguistics (volume 1: long papers). Association for Computational Linguistics, Stroudsburg, pp 1631\u20131640","DOI":"10.18653\/v1\/P16-1154"},{"key":"4486_CR10","unstructured":"Hasan KS, Ng V (2010) Conundrums in unsupervised keyphrase extraction: making sense of the state-of-the-art. In 23rd international conference on computational linguistics association for computational linguistics coling 2010, pp 365\u201373"},{"key":"4486_CR11","doi-asserted-by":"crossref","unstructured":"Hershey JR, Chen Z, Roux JL, Watanabe S (2016) Deep clustering: discriminative embeddings for segmentation and separation. In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP) IEEE, pp 31\u201335","DOI":"10.1109\/ICASSP.2016.7471631"},{"issue":"5786","key":"4486_CR12","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313(5786):504\u2013507","journal-title":"Science"},{"issue":"8","key":"4486_CR13","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780","journal-title":"Neural Comput"},{"issue":"5","key":"4486_CR14","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K Hornik","year":"1989","unstructured":"Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Netw 2(5):359\u2013366","journal-title":"Neural Netw"},{"key":"4486_CR15","doi-asserted-by":"crossref","unstructured":"Hulth A, Megyesi BB (2006) A study on automatically extracted keywords in text categorization. In: Proceedings of the 21st international conference on computational linguistics and the 44th annual meeting of the ACL\u2013ACL \u201906. Association for Computational Linguistics, Morristown, pp 537\u201344","DOI":"10.3115\/1220175.1220243"},{"key":"4486_CR16","unstructured":"Liu Z, Chen X, Zheng Y, Sun M (2011) Automatic keyphrase extraction by bridging vocabulary gap. In: Proceedings of the fifteenth conference on computational natural language learning. Association for Computational Linguistics, pp 135\u201344"},{"key":"4486_CR17","doi-asserted-by":"publisher","first-page":"4295","DOI":"10.1007\/s00500-017-2852-8","volume":"22","author":"J Liu","year":"2017","unstructured":"Liu J, Ren H, Wu M, Wang J, Kim H (2017) Multiple relations extraction among multiple entities in unstructured text. Soft Comput 22:4295\u20134305","journal-title":"Soft Comput"},{"key":"4486_CR18","doi-asserted-by":"crossref","unstructured":"Medelyan O, Frank E, Witten IH (2009) Human-competitive tagging using automatic keyphrase extraction. In: Proceedings of the 2009 conference on empirical methods in natural language processing: volume 3. Association for Computational Linguistics, pp 1318\u201327","DOI":"10.3115\/1699648.1699678"},{"key":"4486_CR19","doi-asserted-by":"crossref","unstructured":"Meng R, Zhao S, Han S, He D, Brusilovsky P, Chi Y (2017) Deep keyphrase generation. In Proceedings of the 55th annual meeting of the association for computational linguistics (volume 1: long papers). Association for Computational Linguistics, Stroudsburg, pp 582\u201392","DOI":"10.18653\/v1\/P17-1054"},{"key":"4486_CR20","doi-asserted-by":"crossref","unstructured":"Mihalcea R (2004) Graph-based ranking algorithms for sentence extraction, applied to text summarization. In: Proceedings of the ACL 2004 on interactive poster and demonstration sessions, vol 85. Association for Computational Linguistics, Morristown, pp 20","DOI":"10.3115\/1219044.1219064"},{"key":"4486_CR21","first-page":"404","volume":"85","author":"R Mihalcea","year":"2004","unstructured":"Mihalcea R, Tarau P (2004) TextRank: bringing order into texts. Proc EMNLP 85:404\u2013411","journal-title":"Proc EMNLP"},{"key":"4486_CR22","unstructured":"Nair V, Hinton GE (2010) Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th international conference on machine learning (ICML-10), pp 807\u201314"},{"key":"4486_CR23","unstructured":"Ng A (2011) Sparse autoencoder. CS294A Lecture Notes, pp 1\u201319"},{"key":"4486_CR24","doi-asserted-by":"crossref","unstructured":"Patel VM, Van Nguyen H, Vidal RR, Van Nguyen H, Vidal RR (2013) Latent space sparse subspace clustering. In: Proceedings of the IEEE international conference on computer vision, pp 225\u201332","DOI":"10.1109\/ICCV.2013.35"},{"key":"4486_CR25","doi-asserted-by":"crossref","unstructured":"Rush AM, Chopra S, Weston J (2015) A neural attention model for abstractive sentence summarization. ArXiv Preprint arXiv:1509.00685","DOI":"10.18653\/v1\/D15-1044"},{"key":"4486_CR26","unstructured":"Shen S, Cheng Y, He Z, He W, Wu H, Sun M, Liu Y (2015) Minimum risk training for neural machine translation. ArXiv Preprint arXiv:1512.02433"},{"key":"4486_CR27","unstructured":"Van Merri B, Cho K, Van Merri\u00ebnboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, Bengio Y (2014) Learning phrase representations using RNN encoder\u2013decoder for statistical machine translation. ArXiv Preprint arXiv:1406.1078"},{"key":"4486_CR28","unstructured":"Vinyals O, Le Q (2015) A neural conversational model. ArXiv Preprint arXiv:1506.05869"},{"key":"4486_CR29","unstructured":"Vinyals O, Kaiser \u0141, Koo T, Petrov S, Sutskever I, Hinton G (2015) Grammar as a foreign language. In: Advances in neural information processing systems, pp 2773\u20132781"},{"key":"4486_CR30","unstructured":"Xie J, Girshick R, Farhadi A (2016) Unsupervised deep embedding for clustering analysis. In: International conference on machine learning, vol 48, pp 478\u201387"},{"key":"4486_CR31","doi-asserted-by":"crossref","unstructured":"Xu W, Liu X, Gong Y (2003) Document clustering based on non-negative matrix factorization.\u201d In: Proceedings of the 26th annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 267\u201373","DOI":"10.1145\/860435.860485"},{"key":"4486_CR32","doi-asserted-by":"crossref","unstructured":"Yang J, Parikh D, Batra D (2016) Joint unsupervised learning of deep representations and image clusters. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 5147\u201356","DOI":"10.1109\/CVPR.2016.556"},{"issue":"1","key":"4486_CR33","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1109\/TSP.2016.2614491","volume":"65","author":"B Yang","year":"2017","unstructured":"Yang B, Xiao F, Sidiropoulos ND (2017a) Learning from hidden traits: joint factor analysis and latent clustering. IEEE Trans Signal Process 65(1):256\u2013269","journal-title":"IEEE Trans Signal Process"},{"key":"4486_CR34","unstructured":"Yang B, Fu X, Sidiropoulos ND, Hong M (2017b) Towards K-means-friendly spaces: simultaneous deep learning and clustering. In: 34th international conference on machine learning, ICML 2017, 8, pp 5888\u20135901"},{"key":"4486_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04085-0","author":"J Yu","year":"2019","unstructured":"Yu J, Liu H, Zheng X (2019) Two-dimensional joint local and nonlocal discriminant analysis-based 2D image feature extraction for deep learning. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-019-04085-0","journal-title":"Neural Comput Appl"},{"key":"4486_CR36","doi-asserted-by":"crossref","unstructured":"Zhang Q, Wang Y, Gong Y, Huang X (2016) Keyphrase extraction using deep recurrent neural networks on twitter. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 836\u201345","DOI":"10.18653\/v1\/D16-1080"},{"key":"4486_CR37","first-page":"11","volume":"28","author":"C Zreik","year":"2016","unstructured":"Zreik C, Bouveyron P, Latouche R (2016) The stochastic topic block model for the clustering of vertices in networks with textual edges. Statistics and Computing 28:11\u201331","journal-title":"Statistics and Computing"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04486-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-04486-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04486-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T10:57:53Z","timestamp":1664881073000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-04486-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,12]]},"references-count":37,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["4486"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-04486-2","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2019,11,12]]},"assertion":[{"value":"12 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}