activity
20192023
most citedFine-Grained Named Entity Recognition using ELMo and Wikidata

9 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20231 cited

STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation

Lei Shi, Tianyu Gao, Zheng Zhang +1

Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress in…

cs.HC2023

Exploring Natural Language Processing Methods for Interactive Behaviour Modelling

Guanhua Zhang, Matteo Bortoletto, Zhiming Hu +3

Analysing and modelling interactive behaviour is an important topic in human-computer interaction (HCI) and a key requirement for the development of intelligent interactive systems…

cs.CL2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations

Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4

XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency. However, from…

cs.CV2021

Dense Contrastive Visual-Linguistic Pretraining

Lei Shi, Kai Shuang, Shijie Geng +5

Inspired by the success of BERT, several multimodal representation learning approaches have been proposed that jointly represent image and text. These approaches achieve superior p…

cs.IR20199 cited

Fine-Grained Named Entity Recognition using ELMo and Wikidata

Cihan Dogan, Aimore Dutra, Adam Gara +4

Fine-grained Named Entity Recognition is a task whereby we detect and classify entity mentions to a large set of types. These types can span diverse domains such as finance, health…