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Browser-based LLM tool extracts structured data from academic papers

By PulseAugur Editorial · [1 sources] ·

Researchers have developed TCMIIES, a browser-based system for extracting structured information from academic literature using large language models. This platform requires no installation and utilizes commercial LLM APIs with a novel schema-guided prompting framework. TCMIIES prioritizes data privacy by processing information locally in the browser and supports multiple LLM providers and Chinese academic databases. AI

IMPACT Provides researchers with a privacy-preserving, accessible tool for structured data extraction from academic texts.

RANK_REASON The cluster describes a novel system presented in an academic paper for information extraction. [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 →

Browser-based LLM tool extracts structured data from academic papers

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0 / 100
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Tool
The cluster describes a novel system presented in an academic paper for information extraction. [lever_c_demoted from research: ic=1 ai=1.0]
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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
product, paper
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High
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Story freshness
141 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hanqing Zhao ·

    TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature

    The exponential growth of academic publications has created an urgent need for automated tools capable of extracting structured knowledge from unstructured scientific texts. While large language models (LLMs) have demonstrated remarkable capabilities in natural language understan…

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