activity
20182024
most citedMedical Exam Question Answering with Large-scale Reading Comprehension

16 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion

Ying Su, Tianqing Fang, Huiru Xiao +4

Commonsense knowledge graph completion is a new challenge for commonsense knowledge graph construction and application. In contrast to factual knowledge graphs such as Freebase and…

cs.CL2024★ 1 cited

PipeNet: Question Answering with Semantic Pruning over Knowledge Graphs

Ying Su, Jipeng Zhang, Yangqiu Song +1

It is well acknowledged that incorporating explicit knowledge graphs (KGs) can benefit question answering. Existing approaches typically follow a grounding-reasoning pipeline in wh…

cs.CL2022★ 2 cited

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

Ying Su, Zihao Wang, Tianqing Fang +3

Commonsense reasoning tasks such as commonsense knowledge graph completion and commonsense question answering require powerful representation learning. In this paper, we propose to…

cs.CL2022★ 4 cited

Multilingual Word Sense Disambiguation with Unified Sense Representation

Ying Su, Hongming Zhang, Yangqiu Song +1

As a key natural language processing (NLP) task, word sense disambiguation (WSD) evaluates how well NLP models can understand the lexical semantics of words under specific contexts…

cs.CL2018★ 16 cited

Medical Exam Question Answering with Large-scale Reading Comprehension

Xiao Zhang, Ji Wu, Zhiyang He +2

Reading and understanding text is one important component in computer aided diagnosis in clinical medicine, also being a major research problem in the field of NLP. In this work, w…