Natural Language Processing Knowledge Graph (NLP-KG)

Last modified Nov 7

A System for Exploratory Search of Scientific Literature in Natural Language Processing

Motivation

Scientific knowledge is usually available in large quantities as unstructured texts.
This makes getting an overview of new or unknown scientific fields difficult.
Furthermore, it is challenging to stay up-to-date with newly published research.
This is a growing challenge in NLP, where new research is being published at an exponential growth rate.
Structuring the NLP knowledge by linking semantically related NLP fields offers the potential for enhanced exploration of the domain.

Objective

The NLP knowledge graph is an approach to tackle the information overload challenge of researchers. It aims to help researchers in obtaining an overview of NLP-related topics and find relevant papers more efficiently. A user-friendly web application and a natural language conversational interface will be developed to make the NLP knowledge graph easy to use.

Resources

NLP-KG web application: https://nlpkg.sebis.cit.tum.de
Demo video: https://youtu.be/HOUjFxDySOg
GitHub: https://github.com/NLP-Knowledge-Graph
NLP-KG Poster: 240721 Schopf NLP-KG (ACL 2024).pdf

Research Activities

2024
[PDF]	Schopf, Tim; Blatzheim, Alexander; Machner, Nektarios; Matthes, Florian Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes, Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pages 186–198, Trento. Association for Computational Linguistics. URL: https://aclanthology.org/2024.icnlsp-1.21
[PDF]	Schopf, Tim; Matthes, Florian NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 127–135, Bangkok, Thailand. Association for Computational Linguistics. URL: https://aclanthology.org/2024.acl-demos.13
2023
[PDF]	Schopf, Tim; Arabi, Karim; Matthes, Florian Exploring the Landscape of Natural Language Processing Research, In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 23), Varna, Bulgaria, 2023 URL: https://aclanthology.org/2023.ranlp-1.111
2022
[PDF]	Schopf, Tim; Klimek, Simon; Matthes, Florian PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction, In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KDIR (IC3K 2022), Valletta, Malta, 2022 DOI: 10.5220/0011546600003335
[PDF]	Schneider Phillip; Schopf, Tim; Vladika, Juraj; Galkin, Mikhail; Simperl, Elena; Matthes, Florian 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 (AACL-IJCNLP 2022), Online, 2022 URL: https://aclanthology.org/2022.aacl-main.46