Patent Retrieval in Chemistry Based on Semantically Tagged Named Entities. - Harsha Gurulingappa; Bernd Müller; Roman Klinger; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Juliane Fluck; Christoph M. Friedrich (TREC, 2009)

Concept-Based Semi-Automatic Classification of Drugs. - Harsha Gurulingappa; Corinna Kolárik; Martin Hofmann-Apitius; Juliane Fluck (J. Chem. Inf. Model., 2009)

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities. - Bernd Müller; Roman Klinger; Harsha Gurulingappa; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Juliane Fluck; Christoph M. Friedrich (IRFC, 2010)

Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis. - Harsha Gurulingappa; Bernd Müller; Roman Klinger; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Christoph M. Friedrich; Juliane Fluck (TREC, 2010)

Information Retrieval Framework for Technology Survey in Biomedical and Chemistry Literature. - Harsha Gurulingappa; Bernd Müller; Martin Hofmann-Apitius; Juliane Fluck (TREC, 2011)

A Semantic Platform for Information Retrieval from E-Health Records. - Harsha Gurulingappa; Bernd Müller; Martin Hofmann-Apitius; Juliane Fluck (TREC, 2011)

Overview of the TREC 2011 Chemical IR Track. - Mihai Lupu; Jiashu Zhao; Jimmy X. Huang; Harsha Gurulingappa; Juliane Fluck; Marc Zimmermann 001; Igor V. Filippov; John Tait (TREC, 2011)

Extraction of Adverse Drug Effects from Medical Case Reports. - Harsha Gurulingappa; Abdul Mateen Rajput; Luca Toldo (J. Biomed. Semant., 2012)

Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. - Harsha Gurulingappa; Abdul Mateen Rajput; Angus Roberts; Juliane Fluck; Martin Hofmann-Apitius; Luca Toldo (J. Biomed. Informatics, 2012)

Mining the Medical and Patent Literature to Support Healthcare and Pharmacovigilance. - Harsha Gurulingappa (2012)

'HypothesisFinder: ' A Strategy for the Detection of Speculative Statements in Scientific Text. - Ashutosh Malhotra; Erfan Younesi; Harsha Gurulingappa; Martin Hofmann-Apitius (PLoS Comput. Biol., 2013)

Semi-Supervised Information Retrieval System for Clinical Decision Support. - Harsha Gurulingappa; Luca Toldo; Claudia Schepers; Alexander Bauer; Gerard Megaro (TREC, 2016)

Machine Learning Approach for Multi-Layered Detection of Chemical Named Entities in Text. - Usha B. Biradar; Harsha Gurulingappa; Lokanath Khamari; Shashikala Giriyan (Int. J. Softw. Sci. Comput. Intell., 2016)

Improving Consumer Experience for Medical Information Using Text Analytics. - Prathamesh Karmalkar; Harsha Gurulingappa; Justna Muhith; Shikha Singhal; Gerard Megaro; Frank Buchholz (ISEEIE, 2021)

Automate Clinical Evidence Synthesis by Linking Trials to Publications with Text Analytics. - Chao Li; Harsha Gurulingappa; Prathamesh Karmalkar; Jana Raab; Aastha Vij; Gerard Megaro; Christian Henke (ISEEIE, 2021)

Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness. - Shikha Singhal; Bharat Hegde; Prathamesh Karmalkar; Justna Muhith; Harsha Gurulingappa (Frontiers Res. Metrics Anal., 2021)

Artificial intelligence-driven approach for patient-focused drug development. - Prathamesh Karmalkar; Harsha Gurulingappa; Erica Spies; Jennifer Flynn (Frontiers Artif. Intell., 2023)

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling. - Christopher Bagdon; Prathamesh Karmalkar; Harsha Gurulingappa; Roman Klinger (NAACL-HLT, 2024)

Artificial intelligence-enabled social media listening to inform early patient-focused drug development: perspectives on approaches and strategies. - Erica Spies; Jennifer Flynn; Nuno Guitian Oliveira; Prathamesh Karmalkar; Harsha Gurulingappa (Frontiers Digit. Health, 2024)