Papers with annotation models
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types (C18-1)
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| Challenge: | Annotated corpora are often assigned to internet workers whose judgments are reconciled by crowdsourcing models. |
| Approach: | They propose a framework for learning from rich prior knowledge to combine annotations with different structures. |
| Outcome: | The proposed model compares favorably with previous work and enables active sample selection to reduce annotation effort. |
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation (2024.acl-long)
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| Challenge: | Empirical studies demonstrate that Araida reduces human correction labor by 11.02% compared to vanilla interactive data annotation methods. |
| Approach: | They propose an analogical reasoning-based approach that enhances automatic annotation accuracy in the interactive data annotation setting and reduces the need for human corrections. |
| Outcome: | Empirical studies show that Araida reduces human correction labor by 11.02% compared to vanilla interactive data annotation methods. |
Training a Swedish Constituency Parser on Six Incompatible Treebanks (2020.lrec-1)
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| Challenge: | Syntactic parsing is a widely used intermediate step in several natural language processing tasks. |
| Approach: | They propose to use a function-tagged constituent treebank for Swedish which includes discontinuous constituents to improve the accuracy. |
| Outcome: | The proposed parser can be trained on additional treebanks that use other annotation models. |