{
    "ok": true,
    "doi": "10.46243/jstj.2017.v2.i4.213",
    "events": [
        {
            "seq": 1,
            "kind": "register",
            "at": "2026-09-29 22:00:37",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "registered at Crossref; record read from api.crossref.org",
            "changes": [
                {
                    "path": "abstract.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "abstract.value",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "agents.0.name.family",
                    "from": null,
                    "to": "Krishna"
                },
                {
                    "path": "agents.0.name.given",
                    "from": null,
                    "to": "Sadi Mohan"
                },
                {
                    "path": "agents.0.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.0.sequence",
                    "from": null,
                    "to": "first"
                },
                {
                    "path": "agents.1.name.family",
                    "from": null,
                    "to": "Mohan Pattaanayak"
                },
                {
                    "path": "agents.1.name.given",
                    "from": null,
                    "to": "Radha"
                },
                {
                    "path": "agents.1.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.1.sequence",
                    "from": null,
                    "to": "additional"
                },
                {
                    "path": "agents.2.name.org",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "agents.2.role",
                    "from": null,
                    "to": "publisher"
                },
                {
                    "path": "characters.0",
                    "from": null,
                    "to": "Language"
                },
                {
                    "path": "container.identifiers.0.medium",
                    "from": null,
                    "to": "electronic"
                },
                {
                    "path": "container.identifiers.0.type",
                    "from": null,
                    "to": "ISSN"
                },
                {
                    "path": "container.identifiers.0.value",
                    "from": null,
                    "to": "2456-5660"
                },
                {
                    "path": "container.issue",
                    "from": null,
                    "to": "04"
                },
                {
                    "path": "container.pages.first",
                    "from": null,
                    "to": "49"
                },
                {
                    "path": "container.pages.last",
                    "from": null,
                    "to": "51"
                },
                {
                    "path": "container.titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "container.titles.0.value",
                    "from": null,
                    "to": "Journal of Science &amp; Technology"
                },
                {
                    "path": "container.type",
                    "from": null,
                    "to": "Journal"
                },
                {
                    "path": "container.volume",
                    "from": null,
                    "to": "02"
                },
                {
                    "path": "dates.date_type",
                    "from": null,
                    "to": "PublicationDate"
                },
                {
                    "path": "dates.online",
                    "from": null,
                    "to": "2017-07-15"
                },
                {
                    "path": "dates.published",
                    "from": null,
                    "to": "2017-07-15"
                },
                {
                    "path": "doi",
                    "from": null,
                    "to": "10.46243/jstj.2017.v2.i4.213"
                },
                {
                    "path": "format",
                    "from": null,
                    "to": "smartscholars-doi-metadata/1.0"
                },
                {
                    "path": "identifiers.0.type",
                    "from": null,
                    "to": "DOI"
                },
                {
                    "path": "identifiers.0.value",
                    "from": null,
                    "to": "10.46243/jstj.2017.v2.i4.213"
                },
                {
                    "path": "language",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "license.applies_to",
                    "from": null,
                    "to": "vor"
                },
                {
                    "path": "license.start",
                    "from": null,
                    "to": "2017-07-15"
                },
                {
                    "path": "license.url",
                    "from": null,
                    "to": "https://creativecommons.org/licenses/by/4.0/"
                },
                {
                    "path": "links.0.primary",
                    "from": null,
                    "to": true
                },
                {
                    "path": "links.0.return_type",
                    "from": null,
                    "to": "text/html"
                },
                {
                    "path": "links.0.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/213"
                },
                {
                    "path": "links.1.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.1.return_type",
                    "from": null,
                    "to": "application/pdf"
                },
                {
                    "path": "links.1.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/213/190"
                },
                {
                    "path": "links.2.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.2.return_type",
                    "from": null,
                    "to": "application/xml"
                },
                {
                    "path": "links.2.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/213/3521"
                },
                {
                    "path": "links.3.purpose",
                    "from": null,
                    "to": "similarity-checking"
                },
                {
                    "path": "links.3.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/213/190"
                },
                {
                    "path": "modes.0",
                    "from": null,
                    "to": "Visual"
                },
                {
                    "path": "record.issue_number",
                    "from": null,
                    "to": 1
                },
                {
                    "path": "record.registered",
                    "from": null,
                    "to": "2026-09-08"
                },
                {
                    "path": "record.registrant",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "record.source",
                    "from": null,
                    "to": "crossref-api"
                },
                {
                    "path": "record.source_agency",
                    "from": null,
                    "to": "Crossref (member 25296)"
                },
                {
                    "path": "record.updated",
                    "from": null,
                    "to": "2026-09-20"
                },
                {
                    "path": "references.0.doi",
                    "from": null,
                    "to": "10.1145/1135777.1135834"
                },
                {
                    "path": "references.0.key",
                    "from": null,
                    "to": "ref1"
                },
                {
                    "path": "references.0.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.1.key",
                    "from": null,
                    "to": "ref2"
                },
                {
                    "path": "references.1.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.10.key",
                    "from": null,
                    "to": "ref11"
                },
                {
                    "path": "references.10.unstructured",
                    "from": null,
                    "to": "D. Kim, H. Wang, and A. H. Oh, ―Context-dependent conceptualization,‖ in Proc. 23rd Int. Joint Conf. Artif. Intell., 2013, pp. 2654–2661"
                },
                {
                    "path": "references.11.doi",
                    "from": null,
                    "to": "10.1145/1277741.1277832"
                },
                {
                    "path": "references.11.key",
                    "from": null,
                    "to": "ref12"
                },
                {
                    "path": "references.11.unstructured",
                    "from": null,
                    "to": "B. Stein, ―Principles of hash-based text retrieval,‖ in Proc. ACM 30th Annu. Int. Conf. Res. Develop. Inf. Retrieval, 2007, pp. 527–534"
                },
                {
                    "path": "references.12.doi",
                    "from": null,
                    "to": "10.1016/j.ijar.2008.11.006"
                },
                {
                    "path": "references.12.key",
                    "from": null,
                    "to": "ref13"
                },
                {
                    "path": "references.12.unstructured",
                    "from": null,
                    "to": "R. Salakhutdinov and G. E. Hinton, ―Semantic hashing,‖ Int. J. Approx. Reasoning, vol. 50, no. 7, pp. 969–978, 2009"
                },
                {
                    "path": "references.13.doi",
                    "from": null,
                    "to": "10.1162/089976602760128018"
                },
                {
                    "path": "references.13.key",
                    "from": null,
                    "to": "ref14"
                },
                {
                    "path": "references.13.unstructured",
                    "from": null,
                    "to": "G. E. Hinton, ―Training products of experts by minimizing contrastive divergence,‖ Neural Comput., vol. 14, no. 8, pp. 1771–1800, 2002"
                },
                {
                    "path": "references.14.doi",
                    "from": null,
                    "to": "10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9"
                },
                {
                    "path": "references.14.key",
                    "from": null,
                    "to": "ref15"
                },
                {
                    "path": "references.14.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.2.doi",
                    "from": null,
                    "to": "10.1145/1165774.1165776"
                },
                {
                    "path": "references.2.key",
                    "from": null,
                    "to": "ref3"
                },
                {
                    "path": "references.2.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.3.doi",
                    "from": null,
                    "to": "10.7551/mitpress/7287.001.0001"
                },
                {
                    "path": "references.3.key",
                    "from": null,
                    "to": "ref4"
                },
                {
                    "path": "references.3.unstructured",
                    "from": null,
                    "to": "C. Fellbaum, WordNet: An Electronic Lexical Database. Cambridge, MA, USA: MIT Press, 1998"
                },
                {
                    "path": "references.4.doi",
                    "from": null,
                    "to": "10.1145/1645953.1646071"
                },
                {
                    "path": "references.4.key",
                    "from": null,
                    "to": "ref5"
                },
                {
                    "path": "references.4.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.5.doi",
                    "from": null,
                    "to": "10.1145/1277741.1277909"
                },
                {
                    "path": "references.5.key",
                    "from": null,
                    "to": "ref6"
                },
                {
                    "path": "references.5.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.6.key",
                    "from": null,
                    "to": "ref7"
                },
                {
                    "path": "references.6.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.7.key",
                    "from": null,
                    "to": "ref8"
                },
                {
                    "path": "references.7.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.8.doi",
                    "from": null,
                    "to": "10.1145/2213836.2213891"
                },
                {
                    "path": "references.8.key",
                    "from": null,
                    "to": "ref9"
                },
                {
                    "path": "references.8.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "references.9.key",
                    "from": null,
                    "to": "ref10"
                },
                {
                    "path": "references.9.unstructured",
                    "from": null,
                    "to": "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"
                },
                {
                    "path": "referent",
                    "from": null,
                    "to": "Creation"
                },
                {
                    "path": "structural_type",
                    "from": null,
                    "to": "Digital"
                },
                {
                    "path": "titles.0.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "titles.0.value",
                    "from": null,
                    "to": "A Three Layer Stacked Auto Encoders for Semantic Hashing"
                },
                {
                    "path": "type",
                    "from": null,
                    "to": "JournalArticle"
                }
            ],
            "record_after": {
                "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 &amp; 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)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/213",
            "sha256_before": null,
            "sha256_after": "1557ee3a37e8d4c0401023d2c82d62623eb64b9087901feddcf94f71c0e4f19d"
        },
        {
            "seq": 2,
            "kind": "update",
            "at": "2026-09-29 23:59:57",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "record re-read from api.crossref.org",
            "changes": [
                {
                    "path": "container.titles.0.value",
                    "from": "Journal of Science &amp; Technology",
                    "to": "Journal of Science & Technology"
                }
            ],
            "record_after": {
                "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)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/213",
            "sha256_before": "1557ee3a37e8d4c0401023d2c82d62623eb64b9087901feddcf94f71c0e4f19d",
            "sha256_after": "d198a5809e0ad92f863e6afa14f3ebcd58473b1e994949dce6264236e1b9bb07"
        }
    ]
}