Fiona Anting Tan

19 papers A* 1B 2Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). COLING Workshops Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Randunu Chandrakantha Uyangodage
2025	—	`conf`	Proceedings of the First Workshop on Language Models for Low-Resource Languages. COLING Workshops Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage
2024	J	`jnl`	Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. Trans. Mach. Learn. Res. Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos
2024	J	`jnl`	Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. CoRR Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan H. Sengamedu, Christos Faloutsos
2024	J	`jnl`	Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025). CoRR Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson, Ruslan Mitkov, Mohamed Medhat Gaber, Damith Premasiri, Fiona Anting Tan, Lasitha Uyangodage
2024	J	`jnl`	PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. CoRR Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, See-Kiong Ng
2024	A*	`conf`	To Know the Causes of Things: Text Mining for Causal Relations. AAAI Fiona Anting Tan
2023	J	`jnl`	Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report. CoRR Ali Hürriyetoglu, Hristo Tanev, Osman Mutlu, Surendrabikram Thapa, Fiona Anting Tan, Erdem Yörük
2023	J	`jnl`	Constructing and Interpreting Causal Knowledge Graphs from News. CoRR Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng
2023	—	`conf`	Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. ISWC (Posters/Demos/Industry) Fiona Anting Tan, See-Kiong Ng
2023	—	`conf`	RECESS: Resource for Extracting Cause, Effect, and Signal Spans. IJCNLP (1) Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng
2023	B	`conf`	UniCausal: Unified Benchmark and Repository for Causal Text Mining. DaWaK Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
2022	—	`conf`	Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022. CASE@EMNLP Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Tommaso Caselli, Onur Uca, Farhana Ferdousi Liza, Nelleke Oostdijk
2022	J	`jnl`	Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022. CoRR Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Tommaso Caselli, Onur Uca, Farhana Ferdousi Liza, Nelleke Oostdijk
2022	B	`conf`	The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. LREC Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
2022	J	`jnl`	The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. CoRR Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
2022	J	`jnl`	UniCausal: Unified Benchmark and Model for Causal Text Mining. CoRR Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng
2021	J	`jnl`	NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR 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, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang
2021	J	`jnl`	NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Network for Better Cause-Effect Span Detection. CoRR Fiona Anting Tan, See-Kiong Ng