C. M. Villalobos, L. Mendoza, Renato Sayão da Rocha, Jose Eduardo Ruiz, H. D. de Mello Junior, M. Pacheco
{"title":"认知搜索:冠状病毒科学论文的免费信息检索网络服务","authors":"C. M. Villalobos, L. Mendoza, Renato Sayão da Rocha, Jose Eduardo Ruiz, H. D. de Mello Junior, M. Pacheco","doi":"10.1109/ColCACI59285.2023.10225924","DOIUrl":null,"url":null,"abstract":"Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an ongoing global health emergency. With millions of people affected by the COVID-19 pandemic, many questions arise concerning transmission, diagnosis, treatment, development of vaccines, and viral pathogens. Bearing that in mind, the dangers of wrong and inaccurate information represent a socio-economic could do more damage than the disease itself. To help fight this ongoing outbreak, we present Cognitive Search - a friendly deployed service application IR exploring the latest language processing advance. The service provides access to CORD-19, a resource of scholarly articles about COVID-19 and related coronaviruses. The system allows rending documents retrieval by Term-Frequency and Semantic Neural Search and the Hybrid Term-Neural. The retrieval performance can often be significantly improved by using several different retrieval algorithms and allowing the user to combine the results instead of just one. Additionally, the Hybrid Term-Neural approach supports the exploitation of temporal information in documents and the usage of such information to anchor search results along a well-defined timeline. So it can generate insights through an intuitive and easy-to-use interface.","PeriodicalId":206196,"journal":{"name":"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cognitive Search: A Free Information Retrieval Web Service to Coronavirus Scientific Papers\",\"authors\":\"C. M. Villalobos, L. Mendoza, Renato Sayão da Rocha, Jose Eduardo Ruiz, H. D. de Mello Junior, M. Pacheco\",\"doi\":\"10.1109/ColCACI59285.2023.10225924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an ongoing global health emergency. With millions of people affected by the COVID-19 pandemic, many questions arise concerning transmission, diagnosis, treatment, development of vaccines, and viral pathogens. Bearing that in mind, the dangers of wrong and inaccurate information represent a socio-economic could do more damage than the disease itself. To help fight this ongoing outbreak, we present Cognitive Search - a friendly deployed service application IR exploring the latest language processing advance. The service provides access to CORD-19, a resource of scholarly articles about COVID-19 and related coronaviruses. The system allows rending documents retrieval by Term-Frequency and Semantic Neural Search and the Hybrid Term-Neural. The retrieval performance can often be significantly improved by using several different retrieval algorithms and allowing the user to combine the results instead of just one. Additionally, the Hybrid Term-Neural approach supports the exploitation of temporal information in documents and the usage of such information to anchor search results along a well-defined timeline. So it can generate insights through an intuitive and easy-to-use interface.\",\"PeriodicalId\":206196,\"journal\":{\"name\":\"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ColCACI59285.2023.10225924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ColCACI59285.2023.10225924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cognitive Search: A Free Information Retrieval Web Service to Coronavirus Scientific Papers
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an ongoing global health emergency. With millions of people affected by the COVID-19 pandemic, many questions arise concerning transmission, diagnosis, treatment, development of vaccines, and viral pathogens. Bearing that in mind, the dangers of wrong and inaccurate information represent a socio-economic could do more damage than the disease itself. To help fight this ongoing outbreak, we present Cognitive Search - a friendly deployed service application IR exploring the latest language processing advance. The service provides access to CORD-19, a resource of scholarly articles about COVID-19 and related coronaviruses. The system allows rending documents retrieval by Term-Frequency and Semantic Neural Search and the Hybrid Term-Neural. The retrieval performance can often be significantly improved by using several different retrieval algorithms and allowing the user to combine the results instead of just one. Additionally, the Hybrid Term-Neural approach supports the exploitation of temporal information in documents and the usage of such information to anchor search results along a well-defined timeline. So it can generate insights through an intuitive and easy-to-use interface.