Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia. - Bharath Dandala; Rada Mihalcea; Razvan C. Bunescu (*SEM@NAACL-HLT, 2012)

Multilingual Word Sense Disambiguation Using Wikipedia. - Bharath Dandala; Rada Mihalcea; Razvan C. Bunescu (IJCNLP, 2013)

Sense Clustering Using Wikipedia. - Bharath Dandala; Chris Hokamp; Rada Mihalcea; Razvan C. Bunescu (RANLP, 2013)

Word Sense Disambiguation Using Wikipedia. - Bharath Dandala; Rada Mihalcea; Razvan C. Bunescu (The People's Web Meets NLP, 2013)

Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources. - Bharath Dandala; Murthy V. Devarakonda; Mihaela A. Bornea; Christopher Nielson (BioTxtM@COLING 2016, 2016)

IBM Research System at TAC 2017: Adverse Drug Reactions Extraction from Drug Labels. - Bharath Dandala; Diwakar Mahajan; Murthy V. Devarakonda (TAC, 2017)

IBM Research System at MADE 2018: Detecting Adverse Drug Events from Electronic Health Records. - Bharath Dandala; Venkata Joopudi; Murthy V. Devarakonda (Medication and Adverse Drug Event Detection, 2018)

IBM Research System at TAC 2018: Deep Learning architectures for Drug-Drug Interaction extraction from Structured Product Labels. - Bharath Dandala; Diwakar Mahajan; Ananya Poddar (TAC, 2018)

A convolutional route to abbreviation disambiguation in clinical text. - Venkata Joopudi; Bharath Dandala; Murthy V. Devarakonda (J. Biomed. Informatics, 2018)

Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings. - Ananya Poddar; Bharath Dandala; Murthy V. Devarakonda (CoRR, 2019)

Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models. - Bharath Dandala; Venkata Joopudi; Ching-Huei Tsou; Jennifer J. Liang; Parthasarathy Suryanarayanan (AMIA, 2020)

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. - Parthasarathy Suryanarayanan; Ching-Huei Tsou; Ananya Poddar; Diwakar Mahajan; Bharath Dandala; Piyush Madan; Anshul Agrawal; Charles Wachira; Samuel Mogaka Osebe; Osnat Bar-Shira; Clifton Kipchirchir; Sharon Okwako; et al. (CoRR, 2020)

Exploring Effectiveness of Domain and Task-Adaptive Pretraining for Clinical Information Extraction. - Venkata Joopudi; Ananya Poddar; Bharath Dandala; Ching-Huei Tsou (AMIA, 2021)

Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. - Jennifer J. Liang; Ching-Huei Tsou; Bharath Dandala; Ananya Poddar; Venkata Joopudi; Diwakar Mahajan; John M. Prager; Preethi Raghavan; Michele Payne (AMIA, 2021)

Leveraging Transformer-based Sequential Sentence Models for Clinical Information Extraction. - Ananya Poddar; Venkata Joopudi; Bharath Dandala; Ching-Huei Tsou (AMIA, 2021)

IBM @ TREC Clinical Trials Track 2021. - Laura Biester; Venkata Joopudi; Bharath Dandala (TREC, 2021)

Hierarchy-aware Adverse Reaction Embeddings for Signal Detection. - Venkata Joopudi; Bharath Dandala; Ching-Huei Tsou; Jennifer J. Liang (AMIA, 2022)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)

BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models. - Bharath Dandala; Michael M. Danziger; Ella Barkan; Tanwi Biswas; Viatcheslav Gurev; Jianying Hu; Matthew Madgwick; Akira Koseki; Tal Kozlovski; Michal Rosen-Zvi; Yishai Shimoni; Ching-Huei Tsou (CoRR, 2025)

BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects. - Hongyang Li; Sanjoy Dey; Bum Chul Kwon; Michael M. Danziger; Michal Rosen-Tzvi; Jianying Hu; James Kozloski; Ching-Huei Tsou; Bharath Dandala; Pablo Meyer 001 (CoRR, 2025)