Papers with news data
Crowdsourcing and Aggregating Nested Markable Annotations (P19-1)
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| Challenge: | Existing methods for identifying markables for coreference annotation are task and language-independent and can be used for a variety of other annotation tasks. |
| Approach: | They propose a method for identifying markables for coreference annotation that combines automatic markable detectors with checking with a Game-With-A-Purpose (GWAP) and aggregation using a Bayesian annotation model. |
| Outcome: | The proposed method improves mention boundaries on news and other genres by over seven percentage points compared with state-of-the-art, domain-independent automatic mention detectors and almost three points over an in-domain mention detector. |