nardien / kala Goto Github PK

Hello, I am coming over a few problems, and I suggest to help others.

1. python env is python 3.6.0
2. After pip install spacy, you should perform "python -m spacy_entity_linker "download_knowledge_base"" to download wiki knowledgebase, otherwise it will go wrong.

@Nardien @JinheonBaek Specifically, I am interested in understanding how KALA handles unseen data that was not included in the training set by utilizing a knowledge graph to retrieve the neighborhood of the unseen entity from entity memory and perform weight aggregation with its neighbors.

Relational Retrieval which leverages a KG G to retrieve entity embeddings from the memory, according to the relations defined in the given KG

However, I am curious to know how KALA handles cases where the unseen entity does not have a neighborhood that can be retrieved from entity memory (has no relations about that unseen entity defined in given KG).

In that case, does KALA treat the unseen entity as a null entity and handle it using fixed gamma and beta values, similar to when using entity memory alone? (point-wise) or is there another mechanism to handle such case ? I would greatly appreciate any information you can provide regarding this aspect of KALA.

Thank you in advance.

Hi, could you supply the well-preprocessed ner dataset, please?

I want to ask that where can i get a token representation from KALA for my analysis of seen and unseen entites which is similar to what you analyze in the paper, but i have no idea of how and where to get it from KALA. Can you please give me a guidance to do it ?