mlsanityData to 7 Oct 2026

How to Discern Important Urgent News?

arXiv 2402.10302 ↗First posted 15 Feb 2024cs.CLcited by 0

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Abstract (arXiv)

We found that a simple property of clusters in a clustered dataset of news correlate strongly with importance and urgency of news (IUN) as assessed by LLM. We verified our finding across different news datasets, dataset sizes, clustering algorithms and embeddings. The found correlation should allow using clustering (as an alternative to LLM) for identifying the most important urgent news, or for filtering out unimportant articles.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 18 references that are in the map. First posted on arXiv 15 Feb 2024.

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References · 14

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,841
  3. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,308
  4. 2017Get To The Point: Summarization with Pointer-Generator Networkscited by 1,281
  5. 2022Text Embeddings by Weakly-Supervised Contrastive Pre-trainingcited by 1,216
  6. 2015Teaching Machines to Read and Comprehendcited by 1,039
  7. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 849
  8. 2019Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approachcited by 299
  9. 2017Accelerated Hierarchical Density Clusteringcited by 100
  10. 2023ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identificationcited by 45
  11. 2023Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Taskscited by 13
  12. 2023Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Modelscited by 11
2 more
  1. 2023A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysiscited by 6
  2. 2023Linear Cross-Lingual Mapping of Sentence Embeddingscited by 3

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