Papers with noise reduction techniques
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision (2023.emnlp-main)
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| Challenge: | A cost-effective alternative to manual data labeling is weak supervision (WS), where data samples are automatically annotated using a predefined set of labeling functions (LFs). |
| Approach: | They propose an algorithm which denoises WS data by leveraging models trained on all but some LFs to identify and correct biases specific to the held-out LF. |
| Outcome: | The proposed algorithm denoises WS data by leveraging models trained on all but some LFs to identify and correct biases specific to the held-out LF. |
Humanitarian Corpora for English, French and Spanish (2024.lrec-main)
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| Challenge: | et al., a leading database of humanitarian documents, compiled with ReliefWeb reports . documents selected with language identification and noise reduction techniques . authors present corpora of English, French and Spanish humanitarian documents . |
| Approach: | They present three corpora of English, French and Spanish humanitarian documents compiled with ReliefWeb reports . documents were tokenized, lemmatized, tagged by part of speech, and enriched with metadata . authors propose a project to develop a humanitarian dictionary with a focus on conceptual variation . |
| Outcome: | The corpora were compiled to satisfy the research needs of the Humanitarian Encyclopedia project with a focus on conceptual variation. |