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Harsha Gurulingappa
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2020 – today
- 2024
- [c10]Christopher Bagdon, Prathamesh Karmalkar, Harsha Gurulingappa, Roman Klinger:
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling. NAACL-HLT 2024: 7924-7936 - [i1]Christopher Bagdon, Prathamesh Karmalkar, Harsha Gurulingappa, Roman Klinger:
"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling. CoRR abs/2403.17612 (2024) - 2023
- [j7]Prathamesh Karmalkar, Harsha Gurulingappa, Erica Spies, Jennifer Flynn:
Artificial intelligence-driven approach for patient-focused drug development. Frontiers Artif. Intell. 6 (2023) - 2021
- [j6]Shikha Singhal, Bharat Hegde, Prathamesh Karmalkar, Justna Muhith, Harsha Gurulingappa:
Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness. Frontiers Res. Metrics Anal. 6: 683400 (2021) - [c9]Chao Li, Harsha Gurulingappa, Prathamesh Karmalkar, Jana Raab, Aastha Vij, Gerard Megaro, Christian Henke:
Automate Clinical Evidence Synthesis by Linking Trials to Publications with Text Analytics. ISEEIE 2021: 391-396 - [c8]Prathamesh Karmalkar, Harsha Gurulingappa, Justna Muhith, Shikha Singhal, Gerard Megaro, Frank Buchholz:
Improving Consumer Experience for Medical Information Using Text Analytics. ISEEIE 2021: 471-476
2010 – 2019
- 2016
- [j5]Usha B. Biradar
, Harsha Gurulingappa, Lokanath Khamari, Shashikala Giriyan:
Machine Learning Approach for Multi-Layered Detection of Chemical Named Entities in Text. Int. J. Softw. Sci. Comput. Intell. 8(1): 1-15 (2016) - [c7]Harsha Gurulingappa, Luca Toldo, Claudia Schepers, Alexander Bauer, Gerard Megaro:
Semi-Supervised Information Retrieval System for Clinical Decision Support. TREC 2016 - 2013
- [j4]Ashutosh Malhotra, Erfan Younesi, Harsha Gurulingappa, Martin Hofmann-Apitius:
'HypothesisFinder: ' A Strategy for the Detection of Speculative Statements in Scientific Text. PLoS Comput. Biol. 9(7) (2013) - 2012
- [b1]Harsha Gurulingappa:
Mining the Medical and Patent Literature to Support Healthcare and Pharmacovigilance. University of Bonn, 2012, pp. 1-183 - [j3]Harsha Gurulingappa, Abdul Mateen Rajput, Luca Toldo:
Extraction of Adverse Drug Effects from Medical Case Reports. J. Biomed. Semant. 3: 15 (2012) - [j2]Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts
Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. J. Biomed. Informatics 45(5): 885-892 (2012) - 2011
- [c6]Harsha Gurulingappa, Bernd Müller, Martin Hofmann-Apitius, Juliane Fluck:
Information Retrieval Framework for Technology Survey in Biomedical and Chemistry Literature. TREC 2011 - [c5]Harsha Gurulingappa, Bernd Müller, Martin Hofmann-Apitius, Juliane Fluck:
A Semantic Platform for Information Retrieval from E-Health Records. TREC 2011 - [c4]Mihai Lupu, Jiashu Zhao, Jimmy X. Huang
Overview of the TREC 2011 Chemical IR Track. TREC 2011 - 2010
- [c3]Bernd Müller
Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities. IRFC 2010: 152-165 - [c2]Harsha Gurulingappa, Bernd Müller, Roman Klinger, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Christoph M. Friedrich, Juliane Fluck:
Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis. TREC 2010
2000 – 2009
- 2009
- [j1]Harsha Gurulingappa, Corinna Kolárik, Martin Hofmann-Apitius, Juliane Fluck
Concept-Based Semi-Automatic Classification of Drugs. J. Chem. Inf. Model. 49(8): 1986-1992 (2009) - [c1]Harsha Gurulingappa, Bernd Müller, Roman Klinger, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck, Christoph M. Friedrich:
Patent Retrieval in Chemistry Based on Semantically Tagged Named Entities. TREC 2009
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