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A-vademecum-of-machine-learning-2014
A-vademecum-of-machine-learning-2014 PublicA short course on machine learning, with emphasis on "shallow" sequential models such as hidden Markov models (HMMs), conditional random fields (CRFs), Kalman and particle filters. NB: it dates fro…
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summarizer
summarizer PublicForked from kylehg/summarizer
UNMAINTAINED: A multidocument text summarizer, the final project for CIS-530: Intro to Computational Linguistics
TypeScript
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An-easy-introduction-to-CRFs-and-HMMs
An-easy-introduction-to-CRFs-and-HMMs PublicThis is a brief presentation that gently introduces CRFs and HMMs for common NLP applications.
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contextualized-topic-models
contextualized-topic-models PublicForked from MilaNLProc/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Python
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