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Extractive Summarization Explained: How a Text Summarizer Picks Sentences

The document explains extractive versus abstractive summarization, detailing how extractive methods score and select existing sentences using word frequency, sentence position, and cue words, with an example and notes on common traps.

AI generated · Stylome receipt

The piece discusses how repeated summarization can lose details as chapters are regenerated, and suggests preserving raw text while extracting fixed facts per chapter to avoid context overflow.

GitHub - rishibanota/Youtube-Summary-Generator: Generate quick and short summary of youtube videos, In any language possible. · GitHub

A multi-provider YouTube transcript summarizer that automatically selects an available API key to generate structured, multi-language video summaries from transcripts, with chunking for long videos and a simple setup process.

[2611.06445] SUMONE: A Simple and Efficient Summarizer for Plug-and-Play Agent Memory

SumOne is a standalone, task-agnostic summarizer for long-horizon agent histories. It uses masked reconstruction and a length penalty to self-supervise without reference summaries, enabling plug-and-play context compression with substantial inference-cost savings across tasks.

TL;DR: The Tiny Model Summarising Hugging Face Cards — AICHINA.news Blog | AI China News

A concise, on-device summarizer (GGUF) for Hugging Face cards is released via Modelers.cn, enabling local CPU usage with lightweight hardware, but the listing lacks details on parameters, licensing, and usage; the upstream Smol-Hub-tldr project is cited as the basis.

Read a 50-Email Thread in 1 Minute With Free AI Summaries | AIRushX

The article explains how to summarize long email threads with Gmail, Outlook Copilot, or a free AI chat, and gives a prompt for extracting decisions and tasks. It advises removing personal data before using an external chat and checking key details against the original emails.

Is that actually allowed? As a civil servant, refuse to work with AI.

Translated title. Original: Mag dat eigenlijk? Als ambtenaar weigeren met AI te werken

Municipal governments are increasingly using AI for writing, summarizing, and data analysis, but some civil servants worry about errors, bias, and privacy, raising the question of whether a civil servant can refuse to work with AI.

Link clicks beneath AI summaries: Those who know an answer is AI-generated are more than seven times as likely to use the short answer – distrust holds them back, Provimedia GmbH, Story - PresseBox

Translated title. Original: Linkklicks unter KI-Zusammenfassungen: Wer den KI-Ursprung kennt, nutzt die Kurzantwort mit mehr als siebenfacher Chance – Misstrauen bremst, Provimedia GmbH, Story - PresseBox

A survey found that people who recognize search summaries as AI-generated are much more likely to use them, while trust also strongly relates to use. Users clicked traditional search-result links more often than links within summaries, and the study cannot show whether trust causes use.

Perplexity: review, pricing and alternatives · AIVSION

Perplexity answers natural-language questions using real-time web searches and cites its sources. Paid plans add research and agent features, but generated summaries can contain errors.

How to perform a Gemini YouTube search? How to summarize a video with artificial intelligence? Method to obtain information without watching long recordings - DECISION

Translated title. Original: Gemini Youtube araması nasıl yapılır? Yapay zeka ile video nasıl özetlenir? Uzun kayıtları izlemeden bilgi alma yöntemi - KARAR

Gemini lets users search and summarize YouTube content via natural language, without keyword-heavy queries. It returns relevant videos, playlists, and channels, supports in-chat follow-ups, and can generate tailored summaries, though accuracy depends on publicly available data and is not a substitute for verifying critical information.