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Graph Language Models

Moritz Plenz, Anette Frank. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.

Empirical evaluations on relation classification tasks show that GLM embeddings surpass both LM- and GNN-based baselines in supervised and zero-shot setting, demonstrating their versatility. Anthology ID: 2024.acl-long.245 Volume: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Month: August Year: 2024 Address: Bangkok, Thailand Editors: Lun-Wei Ku, Andre Martins, Vivek Srikumar Venue: ACL SIG:Publisher: Association for Computational Linguistics Note:Pages: 4477–4494 Language:URL: https://aclanthology.org/2024.acl-long.245 DOI:Bibkey: plenz-frank-2024-graph Cite (ACL): Moritz Plenz and Anette Frank. Cite (Informal): Graph Language Models(Plenz & Frank, ACL 2024) Copy Citation: BibTeXMarkdownMODS XMLEndnoteMore options… PDF: https://aclanthology.org/2024.acl-long.245.pdf

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