Archna Bhatia is a Research Scientist in Natural Language Processing at the Florida Institute for Human and Machine Cognition. Previously she has held postdoctoral researcher positions at the Language Technologies Institute at Carnegie Mellon University, and at the University of Colorado at Boulder.
Dr. Bhatia’s research is focused on (1) developing NLP systems that integrate linguistics and machine learning for various applications such as cybersecurity and information extraction, (2) developing ontology and lexicon to improve semantic parsing and natural language understanding, and (3) speech processing for clinical applications such as detection and assessment of conditions such as ALS and stress. For example, she recently worked in a team that developed a human language technology pipeline for active defenses against social engineering attacks that makes use of NLP, computational sociolinguistics and metadata analysis (Bhatia et al 2020, Dalton et al 2020, Dorr et al 2020). To compute deep semantic representations of sentences, she has attempted to capture the richness of lexical semantics focusing on verb particle constructions, a type of multiword expressions using lexical resources such as WordNet, and has worked on incorporating the acquired knowledge into an ontology and lexicon to improve semantic parsing (Bhatia et al 2018, Bhatia et al 2017b). Finally, in the clinical domain, she has been working on developing non-invasive techniques for detection and monitoring of physiological, psychological and neurological conditions. For example, she developed a non-invasive speech based method for detection and monitoring of ALS based on divergence from the asymptomatic speech (Bhatia et al 2017a, Bhatia et al 2017c).