@@ -25,7 +25,7 @@ Another observation we made during our annotation was that the Maslow and Reiss
After extracting the knowledge paths, we found that ConceptNet also has a problem with assigning Reiss motives. While the Maslow motives were often well assigned, ConceptNet showed a clear preference for some motives of Reiss. For example, the Reiss motive social was assigned much more often and also in places where a person would have already tended towards love/belonging. Thus ConceptNet has difficulties distinguishing social from concrete feelings such as love.
#### Assigning the human needs
After extracting the knowledgepaths, we found that the neural model of @DebjitPaul was not immediately executable without errors. Again there were a lot of version problems, the versions given in the [gitlab]() are outdated and every version change caused a problem with another package. Since we didn't want to invest all our time again in finding out the correct versions of another project and @debjitpaul couldn't help either, we decided to develop our own method for this. Since the knowledgepaths are already returned according to their expressiveness, we used them in *humans_needs_assginer.py* by using and assigning the human needs of the first path we found.
After extracting the knowledgepaths, we found that the neural model of @DebjitPaul was not immediately executable without errors. Again there were a lot of version problems, the versions given in the [github](https://github.com/debjitpaul/Multi-Hop-Knowledge-Paths-Human-Needs) are outdated and every version change caused a problem with another package. Since we didn't want to invest all our time again in finding out the correct versions of another project and @debjitpaul couldn't help either, we decided to develop our own method for this. Since the knowledgepaths are already returned according to their expressiveness, we used them in *humans_needs_assginer.py* by using and assigning the human needs of the first path we found.
