Matthew S Gerber
Biographic Data
| ID | 6536867 |
|---|---|
| NAME | Matthew S Gerber |
| GIVEN NAMES | Matthew S |
| FAMILY NAME | Gerber |
| SIGNATURE | GERBER M S |
| AFFILIATIONS | University of Virginia |
| ORCID | 0000-0002-9069-4100 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 0 |
Predicting crime using Twitter and kernel density estimation
Semantic Role Labeling of Implicit Arguments for Nominal Predicates
Nominal predicates often carry implicit arguments. Recent work on semantic role labeling has focused on identifying arguments within the local context of a predicate; implicit arguments, however, have not been systematically examined. To address this limitation, we have manually annotated a corpus of implicit arguments for ten predicates from NomBank. Through analysis of this corpus, we find that implicit arguments add 71% to the argument structu…
No prominent works on this page.
Semantic Role Labeling of Implicit Arguments for Nominal Predicates
Nominal predicates often carry implicit arguments. Recent work on semantic role labeling has focused on identifying arguments within the local context of a predicate; implicit arguments, however, have not been systematically examined. To address this limitation, we have manually annotated a corpus of implicit arguments for ten predicates from NomBank. Through analysis of this corpus, we find that implicit arguments add 71% to the argument structu…
Predicting crime using Twitter and kernel density estimation
Computer Science (2 works) · Analytics (1 work) · Argument (complex analysis (1 work) · Artificial Intelligence (1 work) · Baseline (sea (1 work) · Big data (1 work) · Computational and Text Analysis Methods (1 work) · Context (archaeology (1 work) · Crime analysis (1 work) · Crime Patterns and Interventions (1 work)