Jun 25, 2024 · This article introduces progressive self-distillation (PSD), a new training regime that employs online, self-knowledge distillation (KD) to produce and ...

Mar 29, 2024 · The objective of document-level relation extraction is to retrieve the relations existing between entities within a document.

May 23, 2024 · Document-level relation extraction aims at inferring structured human knowledge from textual documents. State-of-the-art methods for this task use ...

Jun 25, 2024 · Exploring self-distillation based relational reasoning training for document-level relation extraction. In: Proceedings of the AAAI Conference on Artificial ...

Oct 24, 2023 · How to identify semantic relations among en- tities in a document when only a few labeled documents are available? Few-shot document- level relation ...

May 30, 2024 · Double Graph Based Reasoning for Document-level Relation Extraction ... Exploring Sentence Community for Document-Level Event Extraction (EMNLP2021 findings) ...

Aug 8, 2024 · Framing the task as an end-to-end Relation Extraction, we evaluated the performance of standard fine-tuning (BioGPT, GPT-2, and Seq2rel) and few-shot learning ...

Jun 21, 2024 · We proposed a graph reasoning method, RKDSP, to fuse the semantics of multiple connection relationships, the local knowledge within each meta-path, the global ...

Dec 6, 2023 · Exploring self-distillation based rela- tional reasoning training for document-level relation extraction. In Proceedings of AAAI. Peiyuan Zhang and Wei Lu ...

Jan 31, 2024 · SelfLRE is a novel low-resource relation extraction architecture, blending self-training and self-ensembling learning to enhance task-specific representations ...