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46 followers · 14 following

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Achievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@sebischair @NLP-Knowledge-Graph

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TimSchopf/README.md

Hi there! 👋 I'm Tim

👨🏻‍💻 About Me

  • 📍 I'm based in Tokyo, Japan.
  • 💻 I'm passionate about NLP and Knowledge Graphs, but also about Machine Learning, Deep Learning, and Data Science in general.
  • 🎓 I'm an AI research scientist at the National Institute of Informatics (NII).
  • 📝 I enjoy writing AI-related articles on Medium.
  • 🤗 I contribute open-source models and datasets via Hugging Face.
  • 🗣 I'm always up for an exciting tech talk.
  • 🌐 Check out my homepage for more information.

📬 Contact

See bio 👈. Feel free to contact me on any topic!

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  1. KeyphraseVectorizers KeyphraseVectorizers Public

    Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

    Python 268 38

  2. sebischair/Lbl2Vec sebischair/Lbl2Vec Public

    Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

    Python 185 28

  3. NLP-Knowledge-Graph/NLP-KG-WebApp NLP-Knowledge-Graph/NLP-KG-WebApp Public

    The official repository for the NLP-KG web application [ACL 2024 Demo].

    TypeScript 14 2

  4. sebischair/Exploring-NLP-Research sebischair/Exploring-NLP-Research Public

    Repository of the RANLP 2023 paper "Exploring the Landscape of Natural Language Processing Research".

    13

  5. sebischair/KG-in-NLP-survey sebischair/KG-in-NLP-survey Public

    This repository contains the annotated collection of 507 papers included in the study: "A Decade of Knowledge Graphs in Natural Language Processing: A Survey", published in AACL-IJCNLP 2022.

    37 4

  6. sebischair/Medical-Abstracts-TC-Corpus sebischair/Medical-Abstracts-TC-Corpus Public

    This repository contains a medical abstracts dataset, describing 5 different classes of patient conditions. The dataset can be used for text classification. [NLPIR 2022]

    42 7