Discover @haakondr Open Source projects

Håkon Drolsum Røkenes (@haakondr)

haakondr

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graph-edit-distance-python

NLP-Graphs

The system can be divided into two parts: preprocessing and graph matching. The preprocessing part parses plaintext documents and outputs dependency graphs in json format. The graph matching takes these dependency graphs and applies graph edit distance to measure similarity.

verfun

Verfun is a util for generating a checksum for a python function

Dependency-Parser

Utility tool which parses all files in a folder with Maltparser

nlp-graph-edit-distance-depricated

A graph edit distance algorithm which determines the difference between two sentences based on semantic content and syntactical structure. Sentences are represented as dependency graphs.

dotfiles