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TimeLMs: Diachronic Language Models from Twitter



Daniel Loureiro , Francesco Barbieri , Leonardo Neves , Luis Espinosa Anke , Jose Camacho-Collados

* GitHub: https://github.com/cardiffnlp/timelms 

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Data Augmentation for Cross-Domain Named Entity Recognition



Shuguang Chen , Gustavo Aguilar , Leonardo Neves , Thamar Solorio

* To appear at EMNLP 2021 main conference 

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Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp



Shuguang Chen , Leonardo Neves , Thamar Solorio

* Accepted to SocialNLP at NAACL 2021 

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The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks



Brihi Joshi , Neil Shah , Francesco Barbieri , Leonardo Neves

* Accepted at COLING 2020. Code available at https://github.com/brihijoshi/granular-similarity-COLING-2020 

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TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification



Francesco Barbieri , Jose Camacho-Collados , Leonardo Neves , Luis Espinosa-Anke

* Findings of EMNLP 2020. TweetEval benchmark available at https://github.com/cardiffnlp/tweeteval 

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Efficiently Mitigating Classification Bias via Transfer Learning



Xisen Jin , Francesco Barbieri , Aida Mostafazadeh Davani , Brendan Kennedy , Leonardo Neves , Xiang Ren

* 10 pages 

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A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition



Shuguang Chen , Gustavo Aguilar , Leonardo Neves , Thamar Solorio

* 8 pages, 2 figures 

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Data Augmentation for Graph Neural Networks



Tong Zhao , Yozen Liu , Leonardo Neves , Oliver Woodford , Meng Jiang , Neil Shah


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LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation



Dong-Ho Lee , Rahul Khanna , Bill Yuchen Lin , Jamin Chen , Seyeon Lee , Qinyuan Ye , Elizabeth Boschee , Leonardo Neves , Xiang Ren

* Accepted to the ACL 2020 (demo). The first two authors contributed equally. Project page: http://inklab.usc.edu/leanlife/ 

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Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations



Ziqi Wang , Yujia Qin , Wenxuan Zhou , Jun Yan , Qinyuan Ye , Leonardo Neves , Zhiyuan Liu , Xiang Ren

* 16 pages, 7 figures, 13 tables 

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