SemEval-2025: Best Task, Best Papers!!
SemEval-2025 features several overall awards: one for organizers of a task, one for the best team participating in a task, and awards for the best team participants in each task.
We are very pleased to announce the winners of these awards for SemEval-2025!
Best Task Paper Award
The Best Task Paper award, for organizers of an individual shared task, recognizes a task that stands out for making an important intellectual contribution to empirical computational semantics, as demonstrated by a creative, interesting, and scientifically rigorous dataset and evaluation design, and a well-written task overview paper.
Best Task Paper: SemEval 2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, Terry Lima Ruas, Meriem Beloucif, Christine de Kock, Tadesse Destaw Belay, Ibrahim Said Ahmad, Nirmal Surange, Daniela Teodorescu, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino Dario Mario Ali, Vladimir Araujo, Abinew Ali Ayele, Oana Ignat, Alexander Panchenko, Yi Zhou, Saif M. Mohammad
Honorable Mention: SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
Raul Vazquez, Timothee Mickus, Elaine Zosa, Teemu Vahtola, Jörg Tiedemann, Aman Sinha, Vincent Segonne, Fernando Sanchez-Vega, Alessandro Raganato, Jindřich Libovický, Jussi Karlgren, Shaoxiong Ji, Jindřich Helcl, Liane Guillou, Ona de Gibert, Jaione Bengoetxea, Joseph Attieh, Marianna Apidianaki
Best System Paper Award
The Best System Paper award, for task participants, recognizes a system description paper that advances our understanding of a problem and available solutions with respect to a task. It need not be the highest-scoring system in the task, but it must have a strong analysis component in the evaluation, as well as a clear and reproducible description of the problem, algorithms, and methodology.
Best System Paper: AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
Iraklis Premptis, Maria Lymperaiou, George Filandrianos, Orfeas Menis Mastromichalakis, Athanasios Voulodimos, Giorgos Stamou
Honorable Mention: PALI-NLP at SemEval 2025 Task 1: Multimodal Idiom Recognition and Alignment
Runyang You, Xinyue Mei, Mengyuan Zhou
Best System Paper per Task Award
The Best System Paper per task award, for task participants, recognizes the system description papers that advances our understanding of a problem and available solutions with respect to each SemEval task. They need not be the highest-scoring system in their task, but they must have a strong analysis component in the evaluation, as well as a clear and reproducible description of the problem, algorithms, and methodology.