Summary of Where It Really Matters: Few-shot Environmental Conservation Media Monitoring For Low-resource Languages, by Sameer Jain et al.
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
by Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shreshtha, Cesar Suarez, Zheyuan Ryan Shi, Lei Li, Fei Fang
First submitted to arxiv on: 19 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel method, called NewsSerow, to automatically recognize environmental conservation content in low-resource languages. The approach is a pipeline of summarization, few-shot classification, and self-reflection using large language models (LLMs). While existing automated media monitoring systems require extensive labeling by domain experts, NewsSerow leverages LLMs to overcome this limitation, making it feasible for global south countries where news is primarily in local low-resource languages. The authors demonstrate the effectiveness of NewsSerow on Nepali news articles, outperforming other few-shot methods and achieving comparable performance with fully fine-tuned models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary NewsSerow is a tool that helps environmental organizations keep track of important conservation news from around the world. This is especially important for countries where not many people speak English, because most current tools require lots of labeled data to work well. NewsSerow uses special language models to automatically identify and summarize conservation-related news in local languages like Nepali or Colombian. By using this technology, organizations can save time and resources while staying informed about the latest developments that affect their mission. |
Keywords
» Artificial intelligence » Classification » Few shot » Summarization
