{ "ok": true, "doi": "10.46243/jstj.2017.v2.i4.213", "doi_display": "10.46243/jstj.2017.v2.i4.213", "doi_url": "https://doi.org/10.46243/jstj.2017.v2.i4.213", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/213", "title": "A Three Layer Stacked Auto Encoders for Semantic Hashing", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:37", "updated_at": "2026-09-29 23:59:57", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jstj.2017.v2.i4.213", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "A Three Layer Stacked Auto Encoders for Semantic Hashing", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jstj.2017.v2.i4.213" } ], "agents": [ { "role": "author", "name": { "given": "Sadi Mohan", "family": "Krishna" }, "sequence": "first" }, { "role": "author", "name": { "given": "Radha", "family": "Mohan Pattaanayak" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2017-07-15", "date_type": "PublicationDate", "online": "2017-07-15" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "02", "issue": "04", "pages": { "first": "49", "last": "51" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/213", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/213/190", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/213/3521", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/213/190", "purpose": "similarity-checking" } ], "abstract": { "value": "Suggesting an original method for sympathetic short texts is to present a device to augment short texts with thoughts and co-occurring terms that are mined from a probabilistic semantic network. To bunch short texts by their senses, we suggest to add more semantic signals to short texts. Precisely, for each term in a short text, we get its concepts and co-occurring terms from a probabilistic information base to augment the short text. Also, we present a basic bottomless learning network entailing of a 3-layer stacked auto-encoders for semantic hashing.Keywords:semantic enrichment, semantic hashing, deep neural network", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2017-07-15", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1145/1135777.1135834", "unstructured": "M. Sahami and T. D. Heilman, ―A web-based kernel function for measuring the similarity of short text snippets,‖ in Proc. 15th Int. Conf. World Wide Web, 2006, pp. 377–386" }, { "key": "ref2", "unstructured": "W. tau Yih and C. Meek, ―Improving similarity measures for short segments of text,‖ in Proc. 22nd Nat. Conf. Artif. Intell., 2007, pp. 1489–1494" }, { "key": "ref3", "doi": "10.1145/1165774.1165776", "unstructured": "D. Shen, R. Pan, J.-T. Sun, J. J. Pan, K. Wu, J. Yin, and Q. Yang, ―Query enrichment for web-query classification,‖ ACM Trans. Inf. Syst., vol. 24, no. 3, pp. 320–352, 2006" }, { "key": "ref4", "doi": "10.7551/mitpress/7287.001.0001", "unstructured": "C. Fellbaum, WordNet: An Electronic Lexical Database. Cambridge, MA, USA: MIT Press, 1998" }, { "key": "ref5", "doi": "10.1145/1645953.1646071", "unstructured": "X. Hu, N. Sun, C. Zhang, and T.-S. Chua, ―Exploiting internal and external semantics for the clustering of short texts using world knowledge,‖ in Proc. 18th ACM Conf. Inf. Knowl. Manage., 2009, pp. 919–928" }, { "key": "ref6", "doi": "10.1145/1277741.1277909", "unstructured": "S. Banerjee, K. Ramanathan, and A. Gupta, ―Clustering short texts using wikipedia,‖ in Proc. 30th Annu. Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, 2007, pp. 787–788" }, { "key": "ref7", "unstructured": "E. Gabrilovich and S. Markovitch, ―Computing semantic relatedness using Wikipedia-based explicit semantic analysis,‖ in Proc. 20th Int. Joint Conf. Artif. Intell., 2007, pp. 1606–1611" }, { "key": "ref8", "unstructured": "E. Gabrilovich and S. Markovitch, ―Feature generation for text categorization using world knowledge,‖ in Proc. 19th Int. Joint Conf. Artif. Intell., 2005, pp. 1048–1053" }, { "key": "ref9", "doi": "10.1145/2213836.2213891", "unstructured": "W. Wu, H. Li, H. Wang, and K. Q. Zhu, ―Probase: A probabilistic taxonomy for text understanding,‖ in Proc. Int. Conf. Manage. Data, 2012, pp. 481–492" }, { "key": "ref10", "unstructured": "Y. Song, H. Wang, Z. Wang, H. Li, and W. Chen, ―Short text conceptualization using a probabilistic knowledge base,‖ in Proc. 22nd Int. Joint Conf. Artif. Intell., 2011, pp. 2330–2336" }, { "key": "ref11", "unstructured": "D. Kim, H. Wang, and A. H. Oh, ―Context-dependent conceptualization,‖ in Proc. 23rd Int. Joint Conf. Artif. Intell., 2013, pp. 2654–2661" }, { "key": "ref12", "doi": "10.1145/1277741.1277832", "unstructured": "B. Stein, ―Principles of hash-based text retrieval,‖ in Proc. ACM 30th Annu. Int. Conf. Res. Develop. Inf. Retrieval, 2007, pp. 527–534" }, { "key": "ref13", "doi": "10.1016/j.ijar.2008.11.006", "unstructured": "R. Salakhutdinov and G. E. Hinton, ―Semantic hashing,‖ Int. J. Approx. Reasoning, vol. 50, no. 7, pp. 969–978, 2009" }, { "key": "ref14", "doi": "10.1162/089976602760128018", "unstructured": "G. E. Hinton, ―Training products of experts by minimizing contrastive divergence,‖ Neural Comput., vol. 14, no. 8, pp. 1771–1800, 2002" }, { "key": "ref15", "doi": "10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9", "unstructured": "S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman, ―Indexing by latent semantic analysis,‖ J. Amer. Soc. Inf. Sci., vol. 41, no. 6, pp. 391–407, 1990. Journal of Science and Technology (ISSN: 2456-5660), Volume 2, Special Issue 1, July 2017 51" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-08", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "d198a5809e0ad92f863e6afa14f3ebcd58473b1e994949dce6264236e1b9bb07", "handle": { "synced_at": "2026-10-01 18:13:42", "url": "https://www.jst.org.in/index.php/pub/article/view/213" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjstj.2017.v2.i4.213", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2017.v2.i4.213&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjstj.2017.v2.i4.213", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2017.v2.i4.213&as=xml" } }