Inside "paras.py" there are some paths hardcoded to your personal folder, generating an error when running the code.

E.g.: /shared/data/jiaming/local-embedding/sp

Just modified them to a local path the code works.

What would the process be to run taxogen on a new corpus?

Reading the TaxoGen-paper, I thought new child nodes in the taxonomy were created by selecting the most representitive term for a topic (using the ranking algorithm which considers popularity and concentration). But reading through the code in main.py and cluster.py it seems to me that child nodes are created by selecting the center index for a cluster. Specifically the center index is found here: https://github.com/franticnerd/taxogen/blob/master/code/cluster.py#L34
the names of the center indices are returned here
https://github.com/franticnerd/taxogen/blob/master/code/cluster.py#L70
and here they are used as new children nodes:
https://github.com/franticnerd/taxogen/blob/master/code/main.py#L63

Did I maybe misunderstand the paper or the code? Or am I looking at the wrong version of the code? I am glad for any clarification.

Dear authors of TaxoGen,
The keyword score of clus_center is smaller than filter_thre, so it (the clus_center) doesn't occur in keywords.txt, leading to KeyError in embs[cate_ph]. How to solve this problem?
作者们您们好，
聚类中心的词的分数小于阈值，因此该词不出现在keywords.txt，导致embs词典里没有这个词，embs[cate_ph]时查不到该词，出现KeyError，请问如何解决？

In run.sh, word2veec should be word2vec:

gcc word2vec.c -o word2veec -lm -pthread -O2 -Wall -funroll-loops -Wno-unused-result

i cant find it anywhere