Closed HamedBabaei closed 1 year ago
Info | date | link |
---|---|---|
Diagram of the paper | 23 Feb 2023 | LLMs4OL.pdf |
Link to editable version of overleaf | 23 Feb 2023 | ISWC 2023 Overleaf Template |
Things that are on my to do list:
generation of documentation for classes, properties
task
Research Questions
RQ1: Can LLMs identify term/entity types?
Task A
RQ2: Do LLMs comprehend relations?is a
relations -- tree structures)Task B
is a
relations -- graph structures)Task C
Tasks
Task A: The goal is to find out which LLMs are capable of finding terms/entities type without giving prior knowledge about types. Because we don't want to give any knowledge to LLMs about types, this task is a Generation task. Design considerations during solving this task are as follows:
Task B: The aim of this task and the next task (Task C) is to understand whatever LLMs could find relations without naming those relations. This relationship could be an undirected or directed relationship. These tasks are classification tasks.
For example:
The
location_of
is a relation between mentioned two types. Our goal is to find thatAcquired Abnormality
andVirus
have relations. Not find the name of the relation (which in this case islocation of
). Because naming relations refers to clustering similar relations and asking experts to name them. So in this task, we are interested to know what is theis a
relation in terms/entities types.In Task B, we want to only find types of relationships that form a hierarchy (a structure that struct types tree format from top to down where the top is a
root
-- it could be multiple roots -- and down is aleaf
) and this type of relationships calledis a
relations. As an example:Task C: However, in types, it is possible to find relations outside of the tree structure, and it is similar to relations between types in graph format. For example (considering Task B example):
So, in this task, the goal is to analyze LLMs from this perspective.
Conference
Our Target is for ISWC 2023: https://iswc2023.semanticweb.org/call-for-research-track-papers/