Gliner
PulseAugur coverage of Gliner — every cluster mentioning Gliner across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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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 …