{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:02Z","timestamp":1750220522835,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T00:00:00Z","timestamp":1609545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,1,2]]},"DOI":"10.1145\/3430984.3430991","type":"proceedings-article","created":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T05:34:44Z","timestamp":1609133684000},"page":"395-399","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Concept Driven Search and Visualization System for Exploring Scientific Repositories"],"prefix":"10.1145","author":[{"given":"Aninda","family":"Sukla","sequence":"first","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abir","family":"Naskar","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tushar","family":"Goel","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suyash","family":"Sangwan","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akshara","family":"Rai","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad","family":"Shakir","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ishan","family":"Verma","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tirthankar","family":"Dasgupta","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lipika","family":"Dey","sequence":"additional","affiliation":[{"name":"TCS Research &amp; Innovation, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,1,2]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Information mining for covid-19 research from a large","author":"Ahamed Sabber","year":"2085","unstructured":"Sabber Ahamed and Manar Samad . 2020. Information mining for covid-19 research from a large volume of scientific literature. arXiv preprint arXiv: 2004 .0 2085 (2020). Sabber Ahamed and Manar Samad. 2020. Information mining for covid-19 research from a large volume of scientific literature. arXiv preprint arXiv:2004.02085(2020)."},{"unstructured":"Pierre\u00a0Le Bras Azimeh Gharavi David\u00a0A Robb Ana\u00a0F Vidal Stefano Padilla and Mike\u00a0J Chantler. 2020. Visualising COVID-19 Research. arXiv preprint arXiv:2005.06380(2020).  Pierre\u00a0Le Bras Azimeh Gharavi David\u00a0A Robb Ana\u00a0F Vidal Stefano Padilla and Mike\u00a0J Chantler. 2020. Visualising COVID-19 Research. arXiv preprint arXiv:2005.06380(2020).","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","volume-title":"Keep up with the latest coronavirus research. Natur 579, 7798","author":"Chen Qingyu","year":"2020","unstructured":"Qingyu Chen , Alexis Allot , and Zhiyong Lu. 2020. Keep up with the latest coronavirus research. Natur 579, 7798 ( 2020 ), 193\u2013193. Qingyu Chen, Alexis Allot, and Zhiyong Lu. 2020. Keep up with the latest coronavirus research. Natur 579, 7798 (2020), 193\u2013193."},{"doi-asserted-by":"crossref","unstructured":"Alexis Conneau Douwe Kiela Holger Schwenk Loic Barrault and Antoine Bordes. 2017. Supervised learning of universal sentence representations from natural language inference data. arXiv preprint arXiv:1705.02364(2017).  Alexis Conneau Douwe Kiela Holger Schwenk Loic Barrault and Antoine Bordes. 2017. Supervised learning of universal sentence representations from natural language inference data. arXiv preprint arXiv:1705.02364(2017).","key":"e_1_3_2_1_4_1","DOI":"10.18653\/v1\/D17-1070"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.18653\/v1\/W18-5035"},{"key":"e_1_3_2_1_6_1","volume-title":"The comparative toxicogenomics database: update","author":"Davis Allan\u00a0Peter","year":"2019","unstructured":"Allan\u00a0Peter Davis , Cynthia\u00a0 J Grondin , Robin\u00a0 J Johnson , Daniela Sciaky , Roy McMorran , Jolene Wiegers , Thomas\u00a0 C Wiegers , and Carolyn\u00a0 J Mattingly . 2019. The comparative toxicogenomics database: update 2019 . Nucleic acids research 47, D1 (2019), D948\u2013D954. Allan\u00a0Peter Davis, Cynthia\u00a0J Grondin, Robin\u00a0J Johnson, Daniela Sciaky, Roy McMorran, Jolene Wiegers, Thomas\u00a0C Wiegers, and Carolyn\u00a0J Mattingly. 2019. The comparative toxicogenomics database: update 2019. Nucleic acids research 47, D1 (2019), D948\u2013D954."},{"key":"e_1_3_2_1_7_1","volume-title":"AAAI-20 KDF - The AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services.","author":"Goel Tushar","year":"2020","unstructured":"Tushar Goel , Palak Jain , Ishan Verma , Lipika Dey , and Shubham Paliwal . 2020 . Mining company sustainability reports to aid financial decision-making . In AAAI-20 KDF - The AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services. Tushar Goel, Palak Jain, Ishan Verma, Lipika Dey, and Shubham Paliwal. 2020. Mining company sustainability reports to aid financial decision-making. In AAAI-20 KDF - The AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1007\/978-3-642-15384-6_45"},{"unstructured":"Matthew Honnibal and Ines Montani. 2017. spaCy 2: Natural language understanding with Bloom embeddings convolutional neural networks and incremental parsing. (2017). To appear.  Matthew Honnibal and Ines Montani. 2017. spaCy 2: Natural language understanding with Bloom embeddings convolutional neural networks and incremental parsing. (2017). To appear.","key":"e_1_3_2_1_9_1"},{"doi-asserted-by":"crossref","unstructured":"Tom Hope Jason Portenoy Kishore Vasan Jonathan Borchardt Eric Horvitz Daniel\u00a0S Weld Marti\u00a0A Hearst and Jevin West. 2020. SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. arXiv preprint arXiv:2005.12668(2020).  Tom Hope Jason Portenoy Kishore Vasan Jonathan Borchardt Eric Horvitz Daniel\u00a0S Weld Marti\u00a0A Hearst and Jevin West. 2020. SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. arXiv preprint arXiv:2005.12668(2020).","key":"e_1_3_2_1_10_1","DOI":"10.18653\/v1\/2020.emnlp-demos.18"},{"doi-asserted-by":"crossref","unstructured":"Matthew Hutson. 2020. Artificial-intelligence tools aim to tame the coronavirus literature. Nature.  Matthew Hutson. 2020. Artificial-intelligence tools aim to tame the coronavirus literature. Nature.","key":"e_1_3_2_1_11_1","DOI":"10.1038\/d41586-020-01733-7"},{"unstructured":"RY Lau and Wenping Zhang. [n.d.]. Semi-supervised statistical inference for business entities extraction and business relations discovery. Balog et al.[3] ([n.\u00a0d.]) 41\u201346.  RY Lau and Wenping Zhang. [n.d.]. Semi-supervised statistical inference for business entities extraction and business relations discovery. Balog et al.[3] ([n.\u00a0d.]) 41\u201346.","key":"e_1_3_2_1_12_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1145\/1344411.1344414"},{"key":"e_1_3_2_1_14_1","volume-title":"The unified medical language system. Methods of information in medicine 32, 4","author":"Lindberg AB","year":"1993","unstructured":"Donald\u00a0 AB Lindberg , Betsy\u00a0 L Humphreys , and Alexa\u00a0 T McCray . 1993. The unified medical language system. Methods of information in medicine 32, 4 ( 1993 ), 281. Donald\u00a0AB Lindberg, Betsy\u00a0L Humphreys, and Alexa\u00a0T McCray. 1993. The unified medical language system. Methods of information in medicine 32, 4 (1993), 281."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1145\/1121949.1121979"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 2004 conference on empirical methods in natural language processing. 404\u2013411","author":"Mihalcea Rada","year":"2004","unstructured":"Rada Mihalcea and Paul Tarau . 2004 . Textrank: Bringing order into text . In Proceedings of the 2004 conference on empirical methods in natural language processing. 404\u2013411 . Rada Mihalcea and Paul Tarau. 2004. Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing. 404\u2013411."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1162\/1063656053583469"},{"key":"e_1_3_2_1_18_1","volume-title":"Scispacy: Fast and robust models for biomedical natural language processing. arXiv preprint arXiv:1902.07669(2019).","author":"Neumann Mark","year":"2019","unstructured":"Mark Neumann , Daniel King , Iz Beltagy , and Waleed Ammar . 2019 . Scispacy: Fast and robust models for biomedical natural language processing. arXiv preprint arXiv:1902.07669(2019). Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019. Scispacy: Fast and robust models for biomedical natural language processing. arXiv preprint arXiv:1902.07669(2019)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.18653\/v1\/P18-1019"},{"key":"e_1_3_2_1_20_1","volume-title":"Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. arXiv preprint arXiv:2005.10865(2020).","author":"Nye E","year":"2020","unstructured":"Benjamin\u00a0 E Nye , Ani Nenkova , Iain\u00a0 J Marshall , and Byron\u00a0 C Wallace . 2020 . Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. arXiv preprint arXiv:2005.10865(2020). Benjamin\u00a0E Nye, Ani Nenkova, Iain\u00a0J Marshall, and Byron\u00a0C Wallace. 2020. Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. arXiv preprint arXiv:2005.10865(2020)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1007\/s12553-015-0096-0"},{"key":"e_1_3_2_1_22_1","volume-title":"TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19. Journal of the American Medical Informatics Association","author":"Roberts Kirk","year":"2020","unstructured":"Kirk Roberts , Tasmeer Alam , Steven Bedrick , Dina Demner-Fushman , Kyle Lo , Ian Soboroff , Ellen Voorhees , Lucy\u00a0Lu Wang , and William\u00a0 R Hersh . 2020. TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19. Journal of the American Medical Informatics Association ( 2020 ). Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen Voorhees, Lucy\u00a0Lu Wang, and William\u00a0R Hersh. 2020. TREC-COVID: Rationale and Structure of an Information Retrieval Shared Task for COVID-19. Journal of the American Medical Informatics Association (2020)."},{"key":"e_1_3_2_1_23_1","volume-title":"Automatic keyword extraction from individual documents. Text mining: applications and theory 1","author":"Rose Stuart","year":"2010","unstructured":"Stuart Rose , Dave Engel , Nick Cramer , and Wendy Cowley . 2010. Automatic keyword extraction from individual documents. Text mining: applications and theory 1 ( 2010 ), 1\u201320. Stuart Rose, Dave Engel, Nick Cramer, and Wendy Cowley. 2010. Automatic keyword extraction from individual documents. Text mining: applications and theory 1 (2010), 1\u201320."},{"key":"e_1_3_2_1_24_1","volume-title":"Jigsaw: supporting investigative analysis through interactive visualization. Information visualization 7, 2","author":"Stasko John","year":"2008","unstructured":"John Stasko , Carsten G\u00f6rg , and Zhicheng Liu . 2008. Jigsaw: supporting investigative analysis through interactive visualization. Information visualization 7, 2 ( 2008 ), 118\u2013132. John Stasko, Carsten G\u00f6rg, and Zhicheng Liu. 2008. Jigsaw: supporting investigative analysis through interactive visualization. Information visualization 7, 2 (2008), 118\u2013132."},{"unstructured":"Jingxuan Tu Marc Verhagen Brent Cochran and James Pustejovsky. 2020. Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. arXiv preprint arXiv:2007.01800(2020).  Jingxuan Tu Marc Verhagen Brent Cochran and James Pustejovsky. 2020. Exploration and Discovery of the COVID-19 Literature through Semantic Visualization. arXiv preprint arXiv:2007.01800(2020).","key":"e_1_3_2_1_25_1"},{"doi-asserted-by":"crossref","unstructured":"Karin Verspoor Simon \u0160uster Yulia Otmakhova Shevon Mendis Zenan Zhai Biaoyan Fang Jey\u00a0Han Lau Timothy Baldwin Antonio\u00a0Jimeno Yepes and David Martinez. 2020. COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. arXiv preprint arXiv:2008.07880(2020).  Karin Verspoor Simon \u0160uster Yulia Otmakhova Shevon Mendis Zenan Zhai Biaoyan Fang Jey\u00a0Han Lau Timothy Baldwin Antonio\u00a0Jimeno Yepes and David Martinez. 2020. COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research. arXiv preprint arXiv:2008.07880(2020).","key":"e_1_3_2_1_26_1","DOI":"10.1007\/978-3-030-72240-1_65"},{"key":"e_1_3_2_1_27_1","volume-title":"CORD-19: The Covid-19 Open Research Dataset. ArXiv","author":"Wang Lucy\u00a0Lu","year":"2020","unstructured":"Lucy\u00a0Lu Wang , Kyle Lo , Yoganand Chandrasekhar , Russell Reas , Jiangjiang Yang , Darrin Eide , Kathryn Funk , Rodney Kinney , Ziyang Liu , William Merrill , 2020. CORD-19: The Covid-19 Open Research Dataset. ArXiv ( 2020 ). Lucy\u00a0Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, 2020. CORD-19: The Covid-19 Open Research Dataset. ArXiv (2020)."},{"key":"e_1_3_2_1_28_1","volume-title":"a major update to the DrugBank database for","author":"Wishart S","year":"2018","unstructured":"David\u00a0 S Wishart , Yannick\u00a0 D Feunang , An\u00a0 C Guo , Elvis\u00a0 J Lo , Ana Marcu , Jason\u00a0 R Grant , Tanvir Sajed , Daniel Johnson , Carin Li , Zinat Sayeeda , 2018. DrugBank 5.0 : a major update to the DrugBank database for 2018 . Nucleic acids research 46, D1 (2018), D1074\u2013D1082. David\u00a0S Wishart, Yannick\u00a0D Feunang, An\u00a0C Guo, Elvis\u00a0J Lo, Ana Marcu, Jason\u00a0R Grant, Tanvir Sajed, Daniel Johnson, Carin Li, Zinat Sayeeda, 2018. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic acids research 46, D1 (2018), D1074\u2013D1082."},{"unstructured":"Edwin Zhang Nikhil Gupta Rodrigo Nogueira Kyunghyun Cho and Jimmy Lin. 2020. Rapidly deploying a neural search engine for the covid-19 open research dataset: Preliminary thoughts and lessons learned. arXiv preprint arXiv:2004.05125(2020).  Edwin Zhang Nikhil Gupta Rodrigo Nogueira Kyunghyun Cho and Jimmy Lin. 2020. Rapidly deploying a neural search engine for the covid-19 open research dataset: Preliminary thoughts and lessons learned. arXiv preprint arXiv:2004.05125(2020).","key":"e_1_3_2_1_29_1"},{"key":"e_1_3_2_1_30_1","volume-title":"BioSNAP Datasets: Stanford biomedical network dataset collection. Note: http:\/\/snap. stanford. edu\/biodata Cited by 5, 1","author":"Zitnik Marinka","year":"2018","unstructured":"Marinka Zitnik , SM Rok\u00a0Sosic , and Jure Leskovec . 2018. BioSNAP Datasets: Stanford biomedical network dataset collection. Note: http:\/\/snap. stanford. edu\/biodata Cited by 5, 1 ( 2018 ). Marinka Zitnik, SM Rok\u00a0Sosic, and Jure Leskovec. 2018. BioSNAP Datasets: Stanford biomedical network dataset collection. Note: http:\/\/snap. stanford. edu\/biodata Cited by 5, 1 (2018)."}],"event":{"acronym":"CODS COMAD 2021","name":"CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD","location":"Bangalore India"},"container-title":["Proceedings of the 3rd ACM India Joint International Conference on Data Science &amp; Management of Data (8th ACM IKDD CODS &amp; 26th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3430984.3430991","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3430984.3430991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:43Z","timestamp":1750195483000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3430984.3430991"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,2]]},"references-count":30,"alternative-id":["10.1145\/3430984.3430991","10.1145\/3430984"],"URL":"https:\/\/doi.org\/10.1145\/3430984.3430991","relation":{},"subject":[],"published":{"date-parts":[[2021,1,2]]},"assertion":[{"value":"2021-01-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}