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New small language model excels at extracting structured news content

By PulseAugur Editorial · [1 sources] ·

Researchers have developed news-crawler-LM, a compact language model designed for efficient and accurate extraction of structured content from news articles. This model, fine-tuned using the Fundus news-crawling library, converts raw HTML into plaintext and structured JSON, including key fields like headline, author, and publication date. Experiments show that news-crawler-LM surpasses existing baselines in HTML-to-Markdown and HTML-to-JSON extraction tasks, demonstrating significant improvements in BLEU and METEOR scores. The project also makes its models and artifacts available to the research community. AI

IMPACT This model could streamline content extraction for news aggregators and researchers, reducing manual effort and improving data quality.

RANK_REASON The cluster contains a research paper detailing a new model release and its performance evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New small language model excels at extracting structured news content

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The cluster contains a research paper detailing a new model release and its performance evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
64 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Pascal Stolzenburg, Jonas Golde, Max Dallabetta, Alan Akbik ·

    news-crawler-LM: A Small Long-Context Model For High-Quality News Crawling

    arXiv:2607.21284v1 Announce Type: new Abstract: Extracting structured content from news pages remains challenging due to heterogeneous HTML layouts, inconsistent markup, and substantial boilerplate such as navigation elements and advertisements. Rule-based news crawlers can achie…

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