Gliner
PulseAugur coverage of Gliner — every cluster mentioning Gliner across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New DeidSharp toolkit uses local LLM for clinical text de-identification
A new open-source toolkit called DeidSharp has been developed to de-identify clinical text by layering a local large language model (LLM) with rule-based and named-entity recognition (NER) detectors. This approach aims …
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Developer builds scalable Document AI pipeline using fine-tuned GLINER model
A developer details how they built a scalable Document AI pipeline using the GLINER model to overcome limitations with traditional regex-based systems. The initial approach of zero-shot learning with GLINER proved insuf…
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Arabic harmful content detection model integrates NER with MARBERT
Researchers have developed a novel two-stage model for detecting harmful content in Arabic, addressing challenges posed by dialectal variations and semantic overlap. The system first utilizes GLiNER to identify harm-rel…
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Musubi releases PolicyLM-1.7B for real-time content moderation
Musubi has launched PolicyLM-1.7B, an open-weight decision model designed for real-time content moderation. This model can interpret plain-English content policies and apply them to messages in under 50 milliseconds, of…
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User seeks advice on distilled LLM for document extraction
A Reddit user is seeking advice on a document extraction process that uses a distilled LLM approach. They have trained two 287M encoder models, one for entity recognition (GLiNER) and another for classification, to proc…
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On-device NER models evaluated for accuracy, cost, and reliability
A new study published on arXiv evaluates nine named-entity recognition (NER) systems for on-device deployment, considering accuracy, cost, reliability, and confidence. The research compares classical taggers, bidirectio…
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TypeLLM leads open-source alternatives in messy data processing
A user tested several open-source alternatives to Jevíčko for processing long and complex real-world data. The evaluation focused on models like TypeLLM, Open-Jev, Nimble, Tev1, Gliner, and Julia. TypeLLM achieved a hig…
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Knowledgator releases GLiFormer for token-free information extraction
Knowledgator Engineering has introduced GLiFormer, a novel encoder framework designed for information extraction tasks. This model, available in Base (264.2M parameters) and Large (575.6M parameters) versions, can perfo…
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AI-powered book recommender uses cover art for suggestions
A software engineer has developed a book recommendation system called By-Its-Cover that utilizes AI to suggest books based on their covers. The system employs CLIP embeddings for both semantic search of book covers and …
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Challenges in developing PII detectors for Russian language models
A technical article discusses the challenges of finding a ready-made PII detector for the Russian language, highlighting issues with Cyrillic characters, regular expressions, Named Entity Recognition (NER) models like G…
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GLiNER tool simplifies signal extraction from free text · 2 sources tracked
This article discusses GLiNER, a tool for extracting signals from free-text data. It explores scenarios where zero-shot Named Entity Recognition (NER) is sufficient and when fine-tuning the model is necessary for more p…
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New REDACT benchmark systematically tests PII detection across 25 languages
Researchers have introduced REDACT, a new multilingual benchmark designed to systematically evaluate the detection of personally identifiable information (PII). This benchmark includes over 13,000 records, 324,000 annot…
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AI framework developed to track dataset usage in research literature
Researchers have developed a new AI framework to track and classify dataset usage within academic literature, addressing a gap in current research infrastructure. This multitask GLiNER-based system jointly extracts data…
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Open-source GLiNER model released for LLM guardrails
A company has released GLiNER, an open-source small language model designed to implement guardrails for larger language models. This model is now publicly available for use. GLiNER aims to provide faster and more effici…
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GLiNER-Relex unifies entity and relation extraction in single NLP model
Researchers have introduced GLiNER-Relex, a novel unified framework designed to simultaneously perform named entity recognition and relation extraction. This approach extends the existing GLiNER architecture, utilizing …