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20142024
most citedRegularizing Matrix Factorization with User and Item Embeddings for Recommendation

50 citations · 231 across the 22 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024★ 3 cited

Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification

Guanyi Mou, Yichuan Li, Kyumin Lee

Data augmentation has shown its effectiveness in resolving the data-hungry problem and improving model's generalization ability. However, the quality of augmented data can be varie…

cs.CL2024★ 5 cited

An Effective, Robust and Fairness-aware Hate Speech Detection Framework

Guanyi Mou, Kyumin Lee

With the widespread online social networks, hate speeches are spreading faster and causing more damage than ever before. Existing hate speech detection methods have limitations in…

cs.CL2024★ 15 cited

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection

Guanyi Mou, Pengyi Ye, Kyumin Lee

Hate speech detection on online social networks has become one of the emerging hot topics in recent years. With the broad spread and fast propagation speed across online social net…

cs.CL2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness

Yichuan Li, Jialong Han, Kyumin Lee +3

In recent years, Pre-trained Language Models (PLMs) have shown their superiority by pre-training on unstructured text corpus and then fine-tuning on downstream tasks. On entity-ric…

cs.CL2020

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Thanh Tran, Yifan Hu, Changwei Hu +4

We present our HABERTOR model for detecting hatespeech in large scale user-generated content. Inspired by the recent success of the BERT model, we propose several modifications to…

cs.CL2020

Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification

Shyam Subramanian, Kyumin Lee

Automated fact extraction and verification is a challenging task that involves finding relevant evidence sentences from a reliable corpus to verify the truthfulness of a claim. Exi…

cs.CL2019★ 5 cited

Learning from Fact-checkers: Analysis and Generation of Fact-checking Language

Nguyen Vo, Kyumin Lee

In fighting against fake news, many fact-checking systems comprised of human-based fact-checking sites (e.g., snopes.com and politifact.com) and automatic detection systems have be…