In everyday conversation, we use pronouns or other expressions to refer to entities in many different ways, but we effortlessly understand these references. In NLP this is a challenging problem known as Coreference Resolution. In this video, we'll show how to train spaCy's new component for Coreference Resolution and how to apply the pipeline to resolve references in a text.
If you're interested in how the coref component works internally, we have a great blog post by Ákos kos and Paul! Feel free to also check out the spaCy project and pretrained coref pipeline.
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00:00] Opener
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01:07] Introduction
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02:47] Coref pipeline
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03:22] spaCy project
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05:56] Training
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08:13] Resolve references in code
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11:28] Outro
THIS TUTORIAL
● Coref blogpost: https://explosion.ai/blog/coref
● SpaCy project: https://github.com/explosion/projects/tree/v3/experimental/coref
● Pretrained coref pipeline: https://github.com/explosion/spacy-experimental/releases/tag/v0.6.0
● Code: https://gist.github.com/thomashacker/b5dd6042c092e0a22c2b9243a64a2466
SPACY
● Website & documentation: https://spacy.io
● GitHub: https://github.com/explosion/spaCy
● Discussion forum: https://github.com/explosion/spaCy/discussions
● Free online course: https://course.spacy.io
● Thinc: https://thinc.ai
● Prodigy: https://prodi.gy/
FOLLOW US
● Explosion: https://twitter.com/explosion_ai
● We offer new services! spaCy Custom Solutions✨ https://explosion.ai/custom-solutions