Examples of existing approaches

[twktheainur]

Add examples of papers for existing approaches combining structured linguistic data with LLMs

[twktheainur]

https://aclanthology.org/2022.naacl-main.325.pdf

[dgromann]

https://aclanthology.org/2023.acl-long.308/ (mildly related)

[twktheainur]

Learning Disentangled Representations for Natural Language Definitions : https://aclanthology.org/2023.findings-eacl.101.pdf

[twktheainur]

Disentangling Language and Knowledge in Task-Oriented Dialogs https://aclanthology.org/N19-1126.pdf

[hgoliv]

Not LLMs, but word embeddings: "On the Utility of Word Embeddings for Enriching OpenWordNet-PT", https://drops.dagstuhl.de/storage/01oasics/oasics-vol093-ldk2021/OASIcs.LDK.2021.21/OASIcs.LDK.2021.21.pdf

[twktheainur]

To monitor: https://www.iospress.com/catalog/journals/neurosymbolic-artificial-intelligence

[A027f3RC7ag8]

Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking

PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding

[Glottocrisio]

This article cope with the task of Ontology Evaluation. Although the case-study is not on LLOD, the methodology can be arguably applied to them too:

https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-018-0188-7

[Glottocrisio]

For the same reason, these papers have to be taken into account. However, there is no particular interesting task we can take inspiration from, as in the example before:

https://browse.arxiv.org/pdf/2303.15487.pdf

https://arxiv.org/pdf/2306.08302.pdf

https://arxiv.org/pdf/2308.00081.pdf

https://content.iospress.com/download/data-science/ds007?id=data-science%2Fds007

https://arxiv.org/abs/2202.12205

[twktheainur]

Starting point for a classification ? Is neuro-symbolic AI meeting its promises in natural language processing? A structured review https://content.iospress.com/articles/semantic-web/sw223228

Also check WG3 survey: https://www.semantic-web-journal.net/system/files/swj3591.pdf

Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, and Florian Matthes. 2022. A Decade of Knowledge Graphs in Natural Language Processing: A Survey. In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 601–614, Online only. Association for Computational Linguistics. https://aclanthology.org/2022.aacl-main.46/

[A027f3RC7ag8]

Free Mindmap tool (save changes with File->Save->Save File) Mindmap Issue: URL is not stable (changes after editing)

[Giedre-hub]

Neuro-symbolic for discourse https://hammer.purdue.edu/articles/thesis/Neural-Symbolic_Modeling_for_Natural_Language_Discourse/19708246 Thesis_MLPacheco_final_fixed.pdf

[Glottocrisio]

Free Mindmap tool (save changes with File->Save->Save File) Mindmap Issue: URL is not stable (changes after editing)

This is a nice idea for visualization, after that scope, topics and targets are defined, so that the reader can more easily works his way towards what mostly interest him.

[A027f3RC7ag8]

Another tool for colaborative working on diagrams (with Github integration): https://www.drawio.com/

[A027f3RC7ag8]

In March, there was the virtual conference (Poolparty Summit 2024) of Semantic Web Company. I'd like to share the link to an interesting presentation on the nyse topic. Altough the talk is not related to LLOD, it features two use cases of nyse AI in real world applications.

Integrating neurosymbolic AI in sales managment

Here is the link to all other presentations of the conference