Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting.
Tanay Aggarwal|Angelo A. Salatino|Francesco Osborne|Enrico Motta
| Anthology ID: | DBLP:conf/sci-k/AggarwalSOM24 |
|---|---|
| Volume: | Proceedings of the 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment co-located with 23rd International Semantic Web Conference (ISWC 2024), Baltimore, Maryland, USA, November 12, 2024. |
| Year: | 2024 |
| Venue: | International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K) |
| Publisher: | CEUR-WS.org |
| URL: | https://ceur-ws.org/Vol-3780/paper3.pdf |
| DBLP: | conf/sci-k/AggarwalSOM24 |
| BibTeX: |
@inproceedings{aggarwal-2024-identifying,
author = {Tanay Aggarwal and
Angelo A. Salatino and
Francesco Osborne and
Enrico Motta},
editor = {Angelo A. Salatino and
Andrea Mannocci and
Francesco Osborne and
Sonja Schimmler and
Georg Rehm},
title = {{Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting}},
booktitle = {{Proceedings of the 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment co-located with 23rd International Semantic Web Conference (ISWC 2024), Baltimore, Maryland, USA, November 12, 2024}},
series = {CEUR Workshop Proceedings},
volume = {3780},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3780/paper3.pdf}
}