Update README.md

README.md

@@ -12,7 +12,11 @@ base_model:
 - numind/NuNER_Zero
 ---
 
-aviation-ner is a fine-tuned a transformer based model to identify and extract aviation hazards associated with product factors from Service Difficulty Reports. The work is a collaboration between FAA and Boeing data scientist teams. The NER model will enhance searchability and facilitate clustering and trend analysis of safety events.
+Aviation-ner is a fine-tuned transformer based model to identify and extract aviation hazards associated with product factors from Service Difficulty Reports.  SDRs are submitted via the [service difficulty reporting system](https://sdrs.faa.gov/) by operators or certified repair stations as a means to document and share information with the aviation community about failures, malfunctions, or defects of aeronautical products. 
+The free-form text description field often contains valuable safety related information, however it lacks predictable grammatical structure and is not in any way standardized. 
+Additionally, it can contain typographical errors, part numbers, abbreviations, and references to specific sections of maintenance manuals or operating procedures, making it difficult to reliably extract this information with regular expressions or language models designed to take in clean, full sentences as input. 
+
+The work is a collaboration between FAA and Boeing data scientist teams. The NER model will enhance searchability and facilitate clustering and trend analysis of safety events.
 
 ## Entity Definition