We show that KW-. ATTN outperforms baseline models using only words as well as other approaches using con- cepts by classification accuracy, which indi- cates ...

In this paper we present a new knowledge-infused attention mechanism, called KW-ATTN (KnoWledge-infused ATTentioN) to incorporate high-level concepts from ...

Jun 1, 2021 · It is shown that KW-ATTN outperforms baseline models using only words as well as other approaches using concepts by classification accuracy, ...

May 31, 2024 · A recent paper that also leverages external knowledge for text classification is KW-ATTN: Knowledge-Infused Attention for Accurate and ...

2022. KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. H Jang, S Bang, W Xiao, G Carenini, R Ng, Y ji Lee. Proceedings ...

Mar 9, 2024 · To further improve text classification results, we propose to design a Deep CNN model. We then used ontology matching to reduce the classes and ...

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. Hyeju Jang, Seojin Bang, ; Predicting Discourse Trees from Transformer- ...

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. H Jang, S Bang, W Xiao, G Carenini, R Ng, Y ji Lee. Proceedings of ...

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification ... Text classification has wide-ranging applications in various domains.

KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. Jang, Hyeju and Bang, Seojin and Xiao, Wen and Carenini, Giuseppe ...