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 Generation, Coreference Resolution, Dependency Parsing, Distillation, Embeddings & Vectors, Entity Linking, Evaluation, Image Classification, Image Segmentation, Layout Analysis, Lemmatization, Named Entity Recognition, Object Detection, Optical Character Recognition (OCR), Part-of-Speech Tagging, PII Anonymization, Question Answering, Relation Extraction, Retrieval-Augmented Generation (RAG), Rule-Based Matching, Span Categorization, Text Classification, Text Generation, Tokenization, Weak Supervision ### Authors Adriane Boyd, Ákos Kádár, Basile Dura, Chung-Fan Tsai, Damian Romero, Daniel de Kok, Duygu Altinok, Edward Schmuhl, Helena Steckmeister, India Kerle, Ines Montani, Kabir Khan, Lj Miranda, Madeesh Kannan, Magdalena Anioł, Matthew Honnibal, Paul O’Leary McCann, Peter Baumgartner, Philip Vollet, Raphael Mitsch, Rehan Ahmed, Richard Hudson, Ryan Wesslen, Sofie Van Landeghem, Victoria Slocum, Vincent D. Warmerdam, Vinit Ravishankar, Walter 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)