Papers with Naive Bayes
Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets (2025.acl-srw)
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| Challenge: | Recent advances in NLP have enabled the use of text-to-text annotation without providing training samples. |
| Approach: | They propose a text-to-text interface for automatic annotation using written guidelines without providing training samples. |
| Outcome: | The proposed approach is comparable with the fine-tuned BERT but without any training data. |
Classifying Sluice Occurrences in Dialogue (L18-1)
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| Challenge: | Ellipsis is an important challenge for natural language processing systems, says a new paper . previous work on ellipsis focused on news data, but sluicing presents a challenge for dialogue systems . |
| Approach: | They describe a corpus of 4100 sluice occurrences from the NYTimes Gigaword corpus . they build a classifier model to automatically classify slujce . |
| Outcome: | The proposed corpus contains 4100 sluice occurrences, with an accuracy of 67% . the work will support empirical research into slujcing in dialogue systems . |
Offensive Video Detection: Dataset and Baseline Results (2020.lrec-1)
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| Challenge: | a large number of social media platforms discourage users from publishing offensive content . however, there is no method to detect offensive content on these platforms due to the high volume of publications. |
| Approach: | They propose to use text-based machine learning to detect offensive content on different platforms . they use word embedding with Deep Learning classifiers to perform best results . |
| Outcome: | The proposed methods outperform Classic and Deep Learning classifiers in Portuguese and CNN architectures in other features. |