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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Fine-Grained Spatial Information Extraction in Radiology as Two-turn Question Answering ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Roberts, Kirk. - : Underline Science Inc., 2021 BASE Show details 2 Rad-SpatialNet: A Frame-based Resource for Fine-Grained Spatial Relations in Radiology Reports Datta, Surabhi; Ulinski, Morgan; Godfrey-Stovall, Jordan... In: LREC Int Conf Lang Resour Eval (2020) BASE Show details 3 Towards an ontology-based medication conversational agent for PrEP and PEP Amith, Muhammad (Tuan); Cui, Licong; Roberts, Kirk; Tao, Cui In: Proc Conf Assoc Comput Linguist Meet (2020) Abstract: HIV (human immunodeficiency virus) can damage a human’s immune system and cause Acquired Immunodeficiency Syndrome (AIDS) which could lead to severe outcomes, including death. While HIV infections have decreased over the last decade, there is still a significant population where the infection permeates. PrEP and PEP are two proven preventive measures introduced that involve periodic dosage to stop the onset of HIV infection. However, the adherence rates for this medication is low in part due to the lack of information about the medication. There exist several communication barriers that prevent patient-provider communication from happening. In this work, we present our ontology-based method for automating the communication of this medication that can be deployed for live conversational agents for PrEP and PEP. This method facilitates a model of automated conversation between the machine and user can also answer relevant questions. Keyword: Article URL: https://doi.org/10.18653/v1/2020.nlpmc-1.5 http://www.ncbi.nlm.nih.gov/pubmed/33230366 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680642/ BASE Hide details 4 Deep learning in clinical natural language processing: a methodical review Wu, Stephen; Roberts, Kirk; Datta, Surabhi... In: J Am Med Inform Assoc (2019) BASE Show details 5 Characterization of Behavioral Transitions Through Social Media Analysis: A Mixed-Methods Approach Singh, Tavleen; Perez, Carlos A; Roberts, Kirk... In: Stud Health Technol Inform (2019) BASE Show details 6 A Frame-Based NLP System for Cancer-Related Information Extraction Si, Yuqi; Roberts, Kirk. - : American Medical Informatics Association, 2018 BASE Show details 7 Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language Roberts, Kirk; Rodriguez, Laritza; Shooshan, Sonya E.. - : American Medical Informatics Association, 2015 BASE Show details 8 An Ensemble Method for Spelling Correction in Consumer Health Questions Kilicoglu, Halil; Fiszman, Marcelo; Roberts, Kirk. - : American Medical Informatics Association, 2015 BASE Show details 9 A supervised framework for resolving coreference in clinical records Rink, Bryan; Roberts, Kirk; Harabagiu, Sanda M. - : BMJ Publishing Group Ltd, 2012 BASE Show details 10 A Machine Learning Approach for Identifying Anatomical Locations of Actionable Findings in Radiology Reports Roberts, Kirk; Rink, Bryan; Harabagiu, Sanda M.. - : American Medical Informatics Association, 2012 BASE Show details 11 Statistical and Similarity Methods for Classifying Emotion in Suicide Notes Roberts, Kirk; Harabagiu, Sanda M.. - : Libertas Academica, 2012 BASE Show details

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