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ceteri

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devrel @Senzing, leading the ERKG practice area

Funding Links: https://github.com/sponsors/ceteri

GitHub Sponsors Profile

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:

Rich Context leaderboard competition
Rich Context API integrations

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.

Featured Works

DerwenAI/pytextrank

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

Language: Python - Stars: 2178
Coleridge-Initiative/rclc

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

Language: Python - Stars: 21
DerwenAI/spaCy_tuTorial

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

Language: Jupyter Notebook - Stars: 26
Coleridge-Initiative/RCApi

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

Language: Python - Stars: 10
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)

Language: Python - Stars: 33
ceteri/synecdoche

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

Language: Python - Stars: 3
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