Watson: Beyond Jeopardy!
By David A. Ferrucci, Anthony Levas, Sugato Bagchi, David Gondek, Erik T. Mueller. Artificial Intelligence, 2013
327 citations recorded by the source corpus.
Subfields: Health Information Management, Molecular Biology, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/dc28313d4e4fd879412b4165ff3ae1840886b303
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In Health Information Management
In Molecular Biology
In Political Science and International Relations
Citations in the corpus
- It Takes Two to Tango: Towards Theory of AI's Mind (2017, methodology): “Doctors collaborate with IBM’s Watson [21, 51], dividing work based on their expertise to make better informed diagnoses [30].”
- Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning (2017, background): “Addressing inference tasks generally requires significant contributions from domain experts and access to a variety of resources (Ferrucci et al., 2013; Lally et al., 2014) such as structured knowledge bases (KBs) (Yao and Van Durme, 2014; Bao et al., 2014; Dong et al., 2015).”
- Places: A 10 Million Image Database for Scene Recognition (2018, unknown): “6 million, and 30million items, respectively [6], [7],”
- Question Answering by Reasoning Across Documents with Graph Convolutional Networks (2018, background): “s document boundaries but instead focusing on retrieving answers from one of many documents (Voorhees et al.,1999). Though there has been much work on aggregating information across multiple sources (Ferrucci et al., 2013), we are not aware of any dataset enabling end-to-end learning for this task. ”
- Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study (2017, background): “Addressing inference tasks generally requires significant contributions from domain experts and access to a variety of resources (Ferrucci et al., 2013; Lally et al., 2014) e.g. structured knowledge bases (KBs) (Yao and Van Durme, 2014; Bao et al., 2014; Dong et al., 2015).”
- Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, methodology): “Adding training and additional content to Watson has improved its accuracy in answering American College of Physician clinical question sets by 28% [51].”
- Introduction to artificial intelligence in medicine (2019, methodology): “Following this success, IBM research took the challenge to modify the Deep QA technology towards medicine [24].”
- Information Retrieval: A Biomedical and Health Perspective (2020, methodology): “This data was published on the Web site of the US Food and Drug Administration (FDA) and discovered by a number of researchers [264, 265], and when added to the data reported in the paper, the original conclusions of safety were no longer warranted [266].”