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Matthew Honnibal

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Building new NLP solutions with spaCy and ProdigyPyData Berlin 20182018-07-06
Claim: NLP projects fail when teams design pipelines and annotation schemes upfront instead of iterating. Built and used spaCy and Prodigy with Thinc-backed…
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Applying the four step "Embed, Encode, Attend, Predict" framework to predict document similarityPyData Seattle 20172017-06-30
A four‑step recipe—Embed, Encode, Attend, Predict—is implemented with the Keras Deep Learning Library and custom attention layer code; word embeddings…
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Designing spaCy: Industrial-strength NLPPyData Berlin 20162016-05-20
spaCy is built as a C extension with a Python API and implemented in Cython from the start, enabling GIL-free multithreading and a compact memory‑managed core…
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