activity
20162024
most citedMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

242 citations · 481 across the 13 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2024

COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport

Linhao Zhang, Li Jin, Guangluan Xu +2

Counter-narratives, which are direct responses consisting of non-aggressive fact-based arguments, have emerged as a highly effective approach to combat the proliferation of hate sp…

cs.CL2023★ 2 cited

TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection

Linhao Zhang, Li Jin, Xian Sun +6

Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment. Previous work has made enlightenin…

cs.CL2021

HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction

Shiyao Yan, Zequn Zhang, Xian Sun +3

Link Prediction, addressing the issue of completing KGs with missing facts, has been broadly studied. However, less light is shed on the ubiquitous hyper-relational KGs. Most exist…

cs.CL2020★ 7 cited

SRQA: Synthetic Reader for Factoid Question Answering

Jiuniu Wang, Wenjia Xu, Xingyu Fu +5

The question answering system can answer questions from various fields and forms with deep neural networks, but it still lacks effective ways when facing multiple evidences. We int…

cs.CL2020★ 73 cited

ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

Jiuniu Wang, Wenjia Xu, Xingyu Fu +2

Named Entity Recognition (NER) is a challenging task that extracts named entities from unstructured text data, including news, articles, social comments, etc. The NER system has be…

cs.CL2018

A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension

Jiuniu Wang, Xingyu Fu, Guangluan Xu +4

In this paper, we introduce Adversarial-and-attention Network (A3Net) for Machine Reading Comprehension. This model extends existing approaches from two perspectives. First, advers…