Papers with English content
MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection (2022.findings-aacl)
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| Challenge: | Increasing presence of multimedia content on the web promotes misinformation . detecting this category of misleading information is almost impossible without prior knowledge . |
| Approach: | They propose a novel multilingual multimodal misinformation dataset that includes background knowledge of misleading articles. |
| Outcome: | The proposed model outperforms the state-of-the-art on misinformation detection task. |
Large-scale Machine Translation for Indian Languages in E-commerce under Low Resource Constraints (2022.emnlp-industry)
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| Challenge: | We have deployed reliable and precise large-scale machine translation systems for several Indian regional languages. |
| Approach: | They develop a structured model development pipeline as a closed feedback loop with external manual feedback through an Active Learning component. |
| Outcome: | The proposed model improves over iterations for English to Hindi and for other languages. |
Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles (2024.lrec-main)
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| Challenge: | Using large language models (LLMs) to detect propaganda from text is a challenge for the development of sophisticated models. |
| Approach: | They propose to use a large propaganda dataset to identify propagandistic content in text, visual, or multimodal languages to improve their models. |
| Outcome: | The proposed model performs better on a large propaganda dataset than the existing models on skewed datasets. |