5 citations · 7 across the 4 of their papers we have counts for
5 papers
Cascade Neural Ensemble for Identifying Scientifically Sound Articles
Ashwin Karthik Ambalavanan, Murthy Devarakonda
Background: A significant barrier to conducting systematic reviews and meta-analysis is efficiently finding scientifically sound relevant articles. Typically, less than 1% of artic…
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Hong Guan, Jianfu Li, Hua Xu +1
Background: Identifying relationships between clinical events and temporal expressions is a key challenge in meaningfully analyzing clinical text for use in advanced AI application…
Knowledge Guided Named Entity Recognition for BioMedical Text
Pratyay Banerjee, Kuntal Kumar Pal, Murthy Devarakonda +1
In this work, we formulate the NER task as a multi-answer knowledge guided QA task (KGQA) which helps to predict entities only by assigning B, I and O tags without associating enti…
Training Models to Extract Treatment Plans from Clinical Notes Using Contents of Sections with Headings
Ananya Poddar, Bharath Dandala, Murthy Devarakonda
Objective: Using natural language processing (NLP) to find sentences that state treatment plans in a clinical note, would automate plan extraction and would further enable their us…
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes
Samarth Rawal, Ashok Prakash, Soumya Adhya +4
Background and Significance: Selecting cohorts for a clinical trial typically requires costly and time-consuming manual chart reviews resulting in poor participation. To help autom…