Python Trending (@pythontrending)

GLiNER2 발표: 'Unified Schema-Based Information Extraction' 라는 제목의 GLiNER2는 스키마 기반으로 통합된 정보 추출(Information Extraction) 접근을 제안하는 연구/도구로 보입니다. 스키마 일관성 유지와 구조화된 추출을 목표로 하는 NLP/IE 관련 신기술·연구 발표입니다.

https://x.com/pythontrending/status/2017605023694197069

#gliner2 #informationextraction #nlp #schema #ie

Python Trending 🇺🇦 (@pythontrending) on X

GLiNER2 - Unified Schema-Based Information Extraction https://t.co/RbXW066WM0

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Python Trending (@pythontrending)

AI Powered Knowledge Graph Generator(ai-knowledge-graph)는 텍스트나 구조화/비구조화된 데이터로부터 자동으로 지식 그래프를 생성하는 도구로, 정보 구조화·엔티티 연결·검색 개선 등에 활용 가능한 AI 기반 지식 그래프 생성 오픈소스 프로젝트입니다.

https://x.com/pythontrending/status/2011476842717270448

#knowledgegraph #nlp #informationextraction #graph

Python Trending 🇺🇦 (@pythontrending) on X

ai-knowledge-graph - AI Powered Knowledge Graph Generator https://t.co/ZKxPLVZPao

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🤖🔧 Apparently, structured outputs are the latest "sliced bread" of #AI, but turns out they're just fancy-shmancy wrappers that make your LLM dumber than a bag of hammers 🤦‍♂️. Who knew that squeezing responses into neat little boxes could actually lead to a train-wreck of information extraction? 🚂💥
https://boundaryml.com/blog/structured-outputs-create-false-confidence #Innovation #AI #Limitations #LLMs #InformationExtraction #TechHumor #StructuredOutputs #HackerNews #ngated
Structured Outputs Create False Confidence

Constrained decoding seems like the greatest thing since sliced bread, but it forces models to prioritize output conformance over output quality.

BAML

GLiNER2: Hệ thống trích xuất thông tin thống nhất dựa trên lược đồ. Hiệu suất cạnh tranh với mô hình ngôn ngữ lớn, chạy hiệu quả trên CPU. #GLiNER2 #TríchXuấtThôngTin #HệThốngThốngNhất #SchemaBased #InformationExtraction #AI #TríTuệNhânTạo

https://www.reddit.com/r/LocalLLaMA/comments/1p69bea/gliner2_unified_schemabased_information_extraction/

🔍 New on the NFDIxCS blog:
How Large Language Models can support scientific literature research and publication workflows.
The post explores how LLM-based information extraction helps structure and reuse research knowledge more effectively — in line with FAIR principles.
👉 Read more: https://nfdixcs.org/meldung/llm-based-information-extraction-to-support-scientific-literature-research-and-publication-workflows

#AI #LLM #OpenScience #FAIRdata #Research #InformationExtraction #ScientificPublishing #NFDIxCS

LLM-Based Information Extraction to Support Scientific Literature Research and Publication Workflows

How can large language models make scientific research more FAIR and discoverable? Our latest work within NFDIxCS explores how AI can automatically extract key concepts from research papers—linking publications, data, and software more effectively to support transparent and efficient scientific workflows.

Today, I'm at Bundesarchiv in Koblenz for the Strategy & Planning meeting of our project "Wiedergutmachung". Our task in this project is to develop efficient information extraction from historical case files of the German Postwar recompensation process of nationalsocialist injustice.

@fiz_karlsruhe @fizise @LandesarchivBW #bundesarchiv @bmf #knowledgegraphs #llms #AI #informationextraction #archives #project @ddbkultur @archivportal @MahsaVafaie @fschwic

Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
Application Deadline: Oct 31, 2025
https://www.fiz-karlsruhe.de/en/stellenanzeigen/phdjunior-researcher-wmx-0

#jobadvertisement #phd #AI #neurosymbolicAI #informationextraction #machinelearning #knmowledgegraphs #ontologies @fiz_karlsruhe @fizise #dh #culturalheritage @nfdi4culture @MahsaVafaie @tabea @sourisnumerique @enorouzi

The presentation "Extracting Citation Data Using LLMs" by @anwagnerdreas , David Carreto Fidalgo & me talks about how to extract structured reference information from footnote-heavy scholarship using LLMs:
https://www.youtube.com/watch?v=bgpsRrSeyIw&list=PL5rAX6ywmP7O_nT99Osd74uino78BJMVT

#LLM #InformationExtraction #Footnotes

Extracting Citation Data Using LLMs | C. Boulanger, D. Carreto Fidalgo & A. Wagner

YouTube

Was Michelangelo really a turtle?
This question will be solved by the research task force of @lysander07 who is presenting this LLM question answering and Information Extraction task, in which the reliability of LLMs applied on historical documents will be analysed.

#isws2025 #dh #digitalhumanities #semanticweb #semweb #knowledgegraphs #llms #informationextraction #renaissance #michelangelo #TMNT

Today, the 2nd lecture of #ISE2025 took place with an introduction into Natural Language Processing, which will be subject of our lecture for the next 4 weeks.

#AI #nlp #informationextraction #ocr #ner #linguistics #computationallinguistics #morphology #pos #ambiguity #language @fiz_karlsruhe @fizise @tabea @enorouzi @sourisnumerique #AIart #generativeAI #machinetranslation #languagemodels #llm