Papers with word deletion
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification (N18-1)
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| Challenge: | Text classification models are becoming increasingly complex and opaque, however for many applications it is essential that the models are interpretable. |
| Approach: | They propose to use automatic word deletion to generate local explanations for a text classification model by crowdsourcing the evaluation using a crowdsourced experiment. |
| Outcome: | The proposed evaluations of local explanations using crowdsourcing and automatic measures correlate with the results. |
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning (2024.lrec-main)
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| Challenge: | Existing methods for data augmentation have not been well explored. |
| Approach: | They propose to use punctuation insertion, modal verbs, and double negation to produce diverse forms of sentences. |
| Outcome: | The proposed methods perform better on diverse datasets with semantic similarity and standard negation. |