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Become a sponsor to paco xander nathan

@ceteri

paco xander nathan

ceteri
coastal redwoods

I'm developing open source libraries in Python for natural language and knowledge graph work, in particular:

  • graph algorithms for lightweight unsupervised keyphrase extraction and entity linking
  • knowledge graph representation and construction
  • interoperability among discovery services for scholarly infrastructure
  • metadata exchange about dataset usage and impact measures
  • tutorials and curriculum materials about any of the above

Much of this focuses on the PyTextRank project and natural language courses, although other examples of my open source work include:

Previously I've worked in roles of open source community evangelism, conferences, etc., for Apache Spark and Project Jupyter. I continue to support these and other related projects, and mentor other people who are now in community evangelist or developer advocate roles.

5 sponsors have funded ceteri’s work.

@Ankush-Chander
@cormacisking
@godsylla
Private Sponsor
@0dB

Featured work

  1. DerwenAI/pytextrank

    Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

    Python 2,160
  2. Coleridge-Initiative/rclc

    Rich Context leaderboard competition, including the corpus and current SOTA for required tasks.

    Python 21
  3. DerwenAI/spaCy_tuTorial

    A brief tutorial for spaCy 2.x, which runs on Google Colab

    Jupyter Notebook 26
  4. Coleridge-Initiative/RCApi

    Rich Context API integrations for federating metadata discovery and exchange across multiple scholarly infrastructure providers

    Python 11
  5. DerwenAI/disparity_filter

    Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)

    Python 32
  6. ceteri/synecdoche

    A collection of random things which are overtly textual in nature.

    Python 3

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