The current state-of-the-art on AxtarishNLG is PFN. See a full comparison of 14 papers with code.

The current state-of-the-art on AxtarishNLG is SPN. See a full comparison of 3 papers with code.

20 мая 2024 г. · The. AxtarishNLG dataset was originally created for natural language generation tasks and was applied as a relation extraction dataset by Zeng et al.

16 июн. 2024 г. · For the relation extraction task, we implement an entity information enhancement module that uses entity extraction results to augment the ...

This multi-triple nature of sentences in the WEBNLG dataset makes it perfect for the multi-relation extraction task. Google-RE [16] Google relation ...

In this paper, we present GraphRel, an end-to-end relation extraction model which uses graph convolutional networks (GCNs) to jointly learn named entities and ...

Entity and relation extraction (ERE) is a core task in information extraction. This task has always faced the overlap problem.

We introduce a simple relation extraction method (DropRel) based on dropout. We propose a Dropout-Normalization layer to generate different vectors for one ...

24 авг. 2023 г. · Joint entity and relation extraction is the fundamental task of information extraction, consisting of two subtasks: named entity recognition and ...

This paper decomposes the task into two steps: entity and potential relation extraction and entity-semantic role determination of triples.