Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Dina Demner‐Fushman"'
Autor:
Jack Gallifant, Amelia Fiske, Yulia A. Levites Strekalova, Juan S. Osorio-Valencia, Rachael Parke, Rogers Mwavu, Nicole Martinez, Judy Wawira Gichoya, Marzyeh Ghassemi, Dina Demner-Fushman, Liam G. McCoy, Leo Anthony Celi, Robin Pierce
Publikováno v:
PLOS Digital Health, Vol 3, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/50295fd360de4af4ae677b477ade7e7c
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question
Externí odkaz:
https://doaj.org/article/60855f11185f4276a699e6be6026aea2
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language questions. We believe medical videos may provide the best possib
Externí odkaz:
https://doaj.org/article/46b35fd608b2435796e84a2398effefb
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general public to understand. Therefore, adapting this expert-level langu
Externí odkaz:
https://doaj.org/article/745444393c6f4168ba7845cd67a68d4e
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) Text Technology Type(s) Natural Language
Externí odkaz:
https://doaj.org/article/25823f24da1c4b53b29fbdf801fa6761
Autor:
Asma Ben Abacha, Dina Demner-Fushman
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-23 (2019)
Abstract Background One of the challenges in large-scale information retrieval (IR) is developing fine-grained and domain-specific methods to answer natural language questions. Despite the availability of numerous sources and datasets for answer retr
Externí odkaz:
https://doaj.org/article/011fca253e174b30a4d30a6aee482ed9
Autor:
Halil Kilicoglu, Asma Ben Abacha, Yassine Mrabet, Sonya E. Shooshan, Laritza Rodriguez, Kate Masterton, Dina Demner-Fushman
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-28 (2018)
Abstract Background Consumers increasingly use online resources for their health information needs. While current search engines can address these needs to some extent, they generally do not take into account that most health information needs are co
Externí odkaz:
https://doaj.org/article/6c774b1d378c4977984b9fa8fad9f36f
Publikováno v:
Information, Vol 12, Iss 8, p 334 (2021)
Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG tas
Externí odkaz:
https://doaj.org/article/5bd0187c4dc54e9fb36a0791f4382891
Autor:
Halil Kilicoglu, Dina Demner-Fushman
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0148538 (2016)
Coreference resolution is one of the fundamental and challenging tasks in natural language processing. Resolving coreference successfully can have a significant positive effect on downstream natural language processing tasks, such as information extr
Externí odkaz:
https://doaj.org/article/655a32d22b124816b490bca3fe6a95dd
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86277 (2014)
ObjectivesEvidence-based medicine depends on the timely synthesis of research findings. An important source of synthesized evidence resides in systematic reviews. However, a bottleneck in review production involves dual screening of citations with ti
Externí odkaz:
https://doaj.org/article/237d4532199c47e2a8ef93a1cad91da8