Name
Abstract | ||
|---|---|---|
This paper describes a natural language processing (NLP) approach to extracting lactation-specific drug information from two sources: FDA-mandated drug labels and the NLM Drugs and Lactation Database (LactMed). A frame semantic approach is utilized, and the paper describes the selected frames, their annotation on a set of 900 sections from drug labels and LactMed articles, and the NLP system to extract such frame instances automatically. The ultimate goal of the project is to use such a system to identify discrepancies in lactation-related drug information between these resources. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.18653/v1/w19-5020 | SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019) |
Field | DocType | Citations |
Computer science,Natural language processing,Artificial intelligence,Lactation,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Heath Goodrum | 1 | 0 | 0.34 |
| Meghana Gudala | 2 | 0 | 0.68 |
| Ankita Misra | 3 | 0 | 0.34 |
| Kirk Roberts | 4 | 334 | 39.86 |