Shrimai Prabhumoye
Biographic Data
| ID | 1666110 |
|---|---|
| NAME | Shrimai Prabhumoye |
| GIVEN NAMES | Shrimai |
| FAMILY NAME | Prabhumoye |
| SIGNATURE | PRABHUMOYE S |
| AFFILIATIONS | Carnegie Mellon University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Five sources of bias in natural language processing
Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context. Here, we provide a simple, actionable summary of this recent work. We outline five sources where bias can occur in NLP systems: (1) the data, (2) the annotation process, (3) the input representations, (4) the …
Five sources of bias in natural language processing
Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context. Here, we provide a simple, actionable summary of this recent work. We outline five sources where bias can occur in NLP systems: (1) the data, (2) the annotation process, (3) the input representations, (4) the …
Five sources of bias in natural language processing
Recently, there has been an increased interest in demographically grounded bias in natural language processing (NLP) applications. Much of the recent work has focused on describing bias and providing an overview of bias in a larger context. Here, we provide a simple, actionable summary of this recent work. We outline five sources where bias can occur in NLP systems: (1) the data, (2) the annotation process, (3) the input representations, (4) the …
Annotation (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Data science (1 work) · Epistemology (1 work) · Gender bias (1 work) · History (1 work) · Linguistics (1 work) · Multimodal Machine Learning Applications (1 work) · Natural language (1 work)