Explosion builds **developer tools** for AI, Machine Learning and Natural Language Processing. ### Project - [spaCy](/content/_/project/spacy/index.html) - [Prodigy](/content/_/project/prodigy/index.html) - [Ellf](/content/_/project/ellf/index.html) - [Thinc](/content/_/project/thinc/index.html) - [Consulting](/content/_/project/consulting/index.html) - [Case Study](/content/_/project/case_study/index.html) ### Topics - [LLMs](/content/_/topic/llms/index.html) - [NLP Strategy](/content/_/topic/strategy/index.html) - [Annotation](/content/_/topic/annotation/index.html) - [Biomedical](/content/_/topic/biomedical/index.html) - [Finance](/content/site-root.html) - [Media](/content/_/topic/media/index.html) - [Legal](/content/_/topic/legal/index.html) - [Humanities](/content/_/topic/humanities/index.html) - [Computer Vision](/content/_/topic/computer-vision/index.html) ### Category - [Blog](/content/_/category/blog/index.html) - [Release](/content/_/category/release/index.html) - [Universe](/content/_/category/universe/index.html) - [Talk](/content/_/category/talk/index.html) - [Interview](/content/_/category/interview/index.html) - [Video](/content/_/category/video/index.html) - [Paper](/content/_/category/paper/index.html) - [Book](/content/_/category/book/index.html) ### Tasks 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 ### Authors 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 ## [Applied NLP in the Age of Generative AI: Future-Proof Strategies for Banking and Finance](https://speakerdeck.com/inesmontani/applied-nlp-in-the-age-of-generative-ai-future-proof-strategies-for-banking-and-finance) [ECONDAT Keynote](https://speakerdeck.com/inesmontani/applied-nlp-in-the-age-of-generative-ai-future-proof-strategies-for-banking-and-finance) [A modern approach and mindset for building future-proof NLP pipelines in-house, focusing on use cases from banking, finance and economics.](https://speakerdeck.com/inesmontani/applied-nlp-in-the-age-of-generative-ai-future-proof-strategies-for-banking-and-finance) ## [Deploying a Prodigy cloud service for Posh’s financial chatbots](/content/blog/posh-prodigy-financial-chatbots/index.html) [A Prodigy case study of Posh AI's production-ready annotation platform and custom chatbot annotation tasks for banking customers.](/content/blog/posh-prodigy-financial-chatbots/index.html) ## [How Love Without Sound helps the music industry recover millions in revenue for artists with NLP, spaCy and Prodigy](/content/blog/love-without-sound-nlp-music-industry/index.html) [A case study on Love Without Sound’s innovative AI-powered tools for the music industry and law firms specializing in royalty negotiations.](/content/blog/love-without-sound-nlp-music-industry/index.html) ## [The triangulation of ethical leader signals using qualitative, experimental, and data science methods](https://www.sciencedirect.com/science/article/abs/pii/S1048984322000613) [Banks, Ross, Toth, Tonidandel, Goloujeh, Dou, Wesslen (2022)](https://www.sciencedirect.com/science/article/abs/pii/S1048984322000613) [This additional text was labeled by the same coding team using Prodigy, a flexible user interface tool built on top of spaCy, a leading open source library in python for natural language processing. We created a spaCy end‐to‐end project workflow including package versioning, data pre‐processing, data ingestion into a database, annotation sessions using Prodigy’s user interface, model training, model evaluation, python packaging, and visual app for testing the model.](https://www.sciencedirect.com/science/article/abs/pii/S1048984322000613) ## [How S&P Global is making markets more transparent with NLP, spaCy and Prodigy](/content/blog/sp-global-commodities/index.html) [A case study on S&P Global’s efficient information extraction pipelines for real-time commodities trading insights in a high-security environment.](/content/blog/sp-global-commodities/index.html) ## [How We Found Pricey Provisions in New Jersey Police Contracts](https://www.propublica.org/article/how-we-found-pricey-provisions-in-new-jersey-police-contracts) [ProPublica](https://www.propublica.org/article/how-we-found-pricey-provisions-in-new-jersey-police-contracts) [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.](https://www.propublica.org/article/how-we-found-pricey-provisions-in-new-jersey-police-contracts) ## [MP Interests Tracker: Utilising GenAI to uncover insights in the UK Register of Financial Interest](https://www.journalismai.info/blog/mp-interests-tracker-utilising-genai-for-uncovering-insights-in-the-uk-register-of-financial-interest) [JournalismAI Blog](https://www.journalismai.info/blog/mp-interests-tracker-utilising-genai-for-uncovering-insights-in-the-uk-register-of-financial-interest) [Project from teams at The Times and BBC using spacy-llm to make complex financial interests data more accessible.](https://www.journalismai.info/blog/mp-interests-tracker-utilising-genai-for-uncovering-insights-in-the-uk-register-of-financial-interest) ## [McKenzie Marshall: NLP in Asset Management (Barings)](https://www.youtube.com/watch?v=kX14Ycieju8&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=10) [spaCy IRL 2019](https://www.youtube.com/watch?v=kX14Ycieju8&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=10) ## [Fiscal data in text: Information extraction from audit reports using Natural Language Processing](https://www.cambridge.org/core/journals/data-and-policy/article/fiscal-data-in-text-information-extraction-from-audit-reports-using-natural-language-processing/F4CAA159BD8C5C71873D85FCF1E4AA96) [Beltran (2023), Data & Policy, Cambridge University Press](https://www.cambridge.org/core/journals/data-and-policy/article/fiscal-data-in-text-information-extraction-from-audit-reports-using-natural-language-processing/F4CAA159BD8C5C71873D85FCF1E4AA96) [I relied on the text annotation software Prodigy in Python that offers a friendly user interface where the reviewer can read the text and assign a label to each paragraph.](https://www.cambridge.org/core/journals/data-and-policy/article/fiscal-data-in-text-information-extraction-from-audit-reports-using-natural-language-processing/F4CAA159BD8C5C71873D85FCF1E4AA96) ## [Patrick Harrison: Financial NLP at S&P Global](https://www.youtube.com/watch?v=rdmaR4WRYEM&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=9) [spaCy IRL 2019](https://www.youtube.com/watch?v=rdmaR4WRYEM&list=PLBmcuObd5An4UC6jvK_-eSl6jCvP1gwXc&index=9)