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Select...Code GenerationCoreference ResolutionDependency ParsingDistillationEmbeddings & VectorsEntity LinkingEvaluationImage ClassificationImage SegmentationLayout AnalysisLemmatizationNamed Entity RecognitionObject DetectionOptical Character Recognition (OCR)Part-of-Speech TaggingPII AnonymizationQuestion AnsweringRelation ExtractionRetrieval-Augmented Generation (RAG)Rule-Based MatchingSpan CategorizationText ClassificationText GenerationTokenizationWeak Supervision

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Select...Adriane BoydÁkos KádárBasile DuraChung-Fan TsaiDamian RomeroDaniël de KokDuygu AltinokEdward SchmuhlHelena SteckmeisterIndia KerleInes MontaniKabir KhanLj MirandaMadeesh KannanMagdalena AniołMatthew HonnibalPaul O’Leary McCannPeter BaumgartnerPhilip VolletRaphael MitschRehan AhmedRichard HudsonRyan WesslenSofie Van LandeghemVictoria SlocumVincent D. WarmerdamVinit RavishankarWalter Henry

How Love Without Sound helps the music industry recover millions in revenue for artists with NLP, spaCy and Prodigy

A case study on Love Without Sound’s innovative AI-powered tools for the music industry and law firms specializing in royalty negotiations.

Extracting Structured Information from Greek Legislation Data Alexios (2023)

Worth noting is the existence of an application, called Prodigy, which takes advantage of an active learning framework and provides users with an interactive interface for data annotation.

uOttawa at LegalLens-2024: Transformer-based Classification Experiments Meghdadi, Inkpen (2024)

Our training utilizes the spaCy pipeline configured with a transformer model and a transition-based parser for NER tasks. The deberta-v3-base model has been selected for the main transformer architecture.

How We Found Pricey Provisions in New Jersey Police Contracts ProPublica

ProPublica and the Asbury Park Press scoured hundreds of police union agreements for details on publicly funded payouts to cops, using spaCy under the hood.

Simply Simplify Language

Interactive app by the Canton of Zurich, Switzerland, using LLMs and spaCy to analyze and simplify institutional communication and make bureaucratic German more inclusive.

Blackstone v0.1.15

A spaCy pipeline and model for NLP on unstructured legal text

Microsoft Presidio v2.2.352

Context aware, pluggable and customizable PII de-identification and anonymization service for text and images, featuring a spaCy back-end.

What 1.2 million parliamentary speeches can teach us about gender representation The Pudding

Analysis of parliamentary speeches using spaCy.

Concepts and measures of bureaucratic constraints in European Union laws from hand-coding to machine-learning Franchino, Migliorati, Pagano, Vignoli (2023)

The models “learn” the relations between the text tokens and the entity categories from two randomly selected samples of sentences that are extracted from a pre-processed corpus and have been manually annotated using the Python-implemented platform “Prodigy”.

More than a Million Pro-Repeal Net Neutrality Comments were Likely Faked Hackernoon

Analysis of net neutrality comments by Jeff Kao using spaCy for word vectors.