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Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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ljyflores/README.md

Lj here 👋 Thank you for stopping by!

I collaborate with Prof. Jackie Cheung at MILA + McGill University on NLP research! I am currently excited by active learning, and how we can get machine learning models to work in contexts where data is scarce. Previously, I worked with Prof. Arman Cohan and Prof. Drago Radev at Yale on tasks in summarization and simplification. Check out my research and projects here!

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  1. loss-library loss-library Public

    Python package to plug-and-play loss functions from various NLP papers

    Python 2

  2. address-to-barangay address-to-barangay Public

    Maps addresses to barangays using Google Maps API and shapefiles from PhilGIS for Dengue Census Project

    Jupyter Notebook 8 3

  3. efficient-spelling-normalization-filipino efficient-spelling-normalization-filipino Public

    Experiments for Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Correction in Filipino, Presented in SustaiNLP Workshop, EMNLP 2022

    Python 2

  4. debiasing-clinical-summaries debiasing-clinical-summaries Public

    Using GANs, inverse propensity weighting, and heuristics to debias clinical summaries for treatment prediction

    Jupyter Notebook 2

  5. yale-nlp/fine-grained-lt yale-nlp/fine-grained-lt Public

    Consolidated experiments for simplification projects

    Jupyter Notebook 3

  6. jeep-tracking jeep-tracking Public

    Python