Submissions from 2023
THINK: Temporal Hypergraph Hyperbolic Network, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, and Tyler Derr
On the effect of dropping layers of pre-trained transformer models, Hassan Sajjad, Fahim Dalvi, Nadir Durrani, and Preslav Nakov
Submissions from 2022
Advances in Preference-based Reinforcement Learning: A Review, Youssef Abdelkareem, Shady Shehata, and Fakhri Karray
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia, Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, and Sebastian Ruder
The Battlefront of Combating Misinformation and Coping with Media Bias, Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, and Ji Heng
Towards Equal Opportunity Fairness through Adversarial Learning, Xudong Han, Timothy Baldwin, and Trevor Cohn
fairlib: A Unified Framework for Assessing and Improving Classification Fairness, Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, and Trevor Cohn
Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian, Fajri Koto, Timothy Baldwin, and Jey Han Lau
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?, Fajri Koto, Jey Han Lau, and Timothy Baldwin
CULG: Commercial Universal Language Generation, Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, and Nan Duan
MultiSpanQA: A Dataset for Multi-Span Question Answering, Haonan Li, Maria Vasardani, Martin Tomko, and Timothy Baldwin
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets, Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Mucahid Kutlu, Wajdi Zaghouani, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, and Alex Nikolov
Overview of the CLEF–2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection, Preslav Nakov, Alberto Barrón-Cedeño, Giovanni da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, and Juliane Köhler
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Shaden Shaar, Hamdy Mubarak, and Nikolay Babulkov
LED down the rabbit hole: Exploring the potential of global attention for biomedical multi-document summarisation, Yulia Otmakhova, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, Karin Verspoor, and Jey Han Lau
Detecting and Understanding Harmful Memes: A Survey, Shivam Sharma, Firoj Alam, Md Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, and Tanmoy Chakraborty
Optimising Equal Opportunity Fairness in Model Training, Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, and Lea Frermann
Improving negation detection with negation-focused pre-training, Hung Thinh Truong, Timothy Baldwin, Trevor Cohn, and Karin Verspoor
Unsupervised Lexical Substitution with Decontextualised Embeddings, Takashi Wada, Timothy Baldwin, Yuji Matsumoto, and Jey Han Lau
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, and Jey Han Lau
Submissions from 2021
Balancing out Bias: Achieving Fairness Through Balanced Training, Xudong Han, Timothy Baldwin, and Trevor Cohn