Dynamic matching-prototypical learning for noisy few-shot relation classification
H Bi, T Peng, J Han, H Cui, L Liu - Knowledge-Based Systems, 2025 - Elsevier
Few-shot relation classification (FSRC) targets at tackling the long-tail relation problem by
identifying relations between entity pairs with few labeled instances. Most of exiting …
identifying relations between entity pairs with few labeled instances. Most of exiting …
Rescue implicit and long-tail cases: Nearest neighbor relation extraction
Z Wan, Q Liu, Z Mao, F Cheng, S Kurohashi… - ar** by pre-training entity encoders on coreference chains
F Mtumbuka, S Schockaert - ar** is the task of assigning semantic types to the entities that are mentioned in a
text. In the case of fine-grained entity ty** (FET), a large set of candidate type labels is …
text. In the case of fine-grained entity ty** (FET), a large set of candidate type labels is …
Decomposing Relational Triple Extraction with Large Language Models for Better Generalization on Unseen Data
B Meng, T Lin, D Yang - Pacific-Asia Conference on Knowledge Discovery …, 2024 - Springer
Despite the significant achievements of existing methods for relational triple extraction
(RTE), most of them only have weak generalization for the data unseen or partially seen in …
(RTE), most of them only have weak generalization for the data unseen or partially seen in …
[PDF][PDF] Cross-domain Relation Extraction
E Bassignana - 2024 - pure.itu.dk
Abstract Language technologies are widely spreading over a diverse range of applications.
Therefore, the ability of computational systems to easily adapt to new unseen situations is …
Therefore, the ability of computational systems to easily adapt to new unseen situations is …
[PDF][PDF] Breaking Language Barriers: Enhancing Multilingual Representation for Sentence Alignment and Translation
Z Mao - 2024 - repository.kulib.kyoto-u.ac.jp
In a diverse linguistic landscape where over 7,100 languages are spoken, vast swathes of
digital content remain isolated within language silos, creating significant barriers to global …
digital content remain isolated within language silos, creating significant barriers to global …
[PDF][PDF] Studies on Subword-based Low-Resource Neural Machine Translation: Segmentation, Encoding, and Decoding
S Haiyue - 2024 - repository.kulib.kyoto-u.ac.jp
In a world rich with diverse ideas and cultures, humans are isolated into islands of distinct
languages. Machine translation (MT) serves as a bridge, facilitating information access and …
languages. Machine translation (MT) serves as a bridge, facilitating information access and …