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  1. A-vademecum-of-machine-learning-2014 A-vademecum-of-machine-learning-2014 Public

    A 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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  2. summarizer summarizer Public

    Forked from kylehg/summarizer

    UNMAINTAINED: A multidocument text summarizer, the final project for CIS-530: Intro to Computational Linguistics

    TypeScript

  3. An-easy-introduction-to-CRFs-and-HMMs An-easy-introduction-to-CRFs-and-HMMs Public

    This is a brief presentation that gently introduces CRFs and HMMs for common NLP applications.

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  4. contextualized-topic-models contextualized-topic-models Public

    Forked 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