NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection. - Fiona Anting Tan; See-Kiong Ng (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022. - Fiona Anting Tan; Hansi Hettiarachchi; Ali Hürriyetoglu; Tommaso Caselli; Onur Uca; Farhana Ferdousi Liza; Nelleke Oostdijk (CASE@EMNLP, 2022)

The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. - Fiona Anting Tan; Ali Hürriyetoglu; Tommaso Caselli; Nelleke Oostdijk; Tadashi Nomoto; Hansi Hettiarachchi; Iqra Ameer; Onur Uca; Farhana Ferdousi Liza; Tiancheng Hu (LREC, 2022)

UniCausal: Unified Benchmark and Model for Causal Text Mining. - Fiona Anting Tan; Xinyu Zuo; See-Kiong Ng (CoRR, 2022)

UniCausal: Unified Benchmark and Repository for Causal Text Mining. - Fiona Anting Tan; Xinyu Zuo; See-Kiong Ng (DaWaK, 2023)

RECESS: Resource for Extracting Cause, Effect, and Signal Spans. - Fiona Anting Tan; Hansi Hettiarachchi; Ali Hürriyetoglu; Nelleke Oostdijk; Tommaso Caselli; Tadashi Nomoto; Onur Uca; Farhana Ferdousi Liza; See-Kiong Ng (IJCNLP (1), 2023)

Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. - Fiona Anting Tan; See-Kiong Ng (ISWC (Posters/Demos/Industry), 2023)

Constructing and Interpreting Causal Knowledge Graphs from News. - Fiona Anting Tan; Debdeep Paul; Sahim Yamaura; Miura Koji; See-Kiong Ng (CoRR, 2023)

Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report. - Ali Hürriyetoglu; Hristo Tanev; Osman Mutlu; Surendrabikram Thapa; Fiona Anting Tan; Erdem Yörük (CoRR, 2023)

To Know the Causes of Things: Text Mining for Causal Relations. - Fiona Anting Tan (AAAI, 2024)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. - Xi Fang; Weijie Xu; Fiona Anting Tan; Jiani Zhang 003; Ziqing Hu; Yanjun Qi; Scott Nickleach; Diego Socolinsky; Srinivasan H. Sengamedu; Christos Faloutsos (CoRR, 2024)

PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. - Fiona Anting Tan; Gerard Christopher Yeo; Fanyou Wu; Weijie Xu; Vinija Jain; Aman Chadha; Kokil Jaidka; Yang Liu 003; See-Kiong Ng (CoRR, 2024)

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. - Xi Fang; Weijie Xu; Fiona Anting Tan; Ziqing Hu; Jiani Zhang 003; Yanjun Qi; Srinivasan H. Sengamedu; Christos Faloutsos (Trans. Mach. Learn. Res., 2024)

Proceedings of the First Workshop on Language Models for Low-Resource Languages. - Hansi Hettiarachchi; Tharindu Ranasinghe; Paul Rayson; Ruslan Mitkov; Mohamed Medhat Gaber; Damith Premasiri; Fiona Anting Tan; Lasitha Uyangodage (COLING Workshops, 2025)

Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). - Hansi Hettiarachchi; Tharindu Ranasinghe; Paul Rayson; Ruslan Mitkov; Mohamed Medhat Gaber; Damith Premasiri; Fiona Anting Tan; Lasitha Randunu Chandrakantha Uyangodage (COLING Workshops, 2025)