Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

Ojha, AK [szerk.]; Dogruoz, AS [szerk.]; Madabushi, HT [szerk.]; Kumar, R [szerk.]; Sartori, E [szerk.]; DaSanMartino, G [szerk.]

Angol nyelvű Konferenciakötet (Könyv) Tudományos

Megjelent: Association for Computational Linguistics (ACL), Stroudsburg (PA), Amerikai Egyesült Államok 2023

Azonosítók

Fejezetek

Li Jie S. et al. Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion. (2023) Megjelent: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) pp. 44-49
Berend Gábor. SzegedAI at SemEval-2023 Task 1: Applying Quasi-Symbolic Representations in Visual Word Sense Disambiguation. (2023) Megjelent: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) pp. 1965-1971
Kandru Pavan et al. Tenzin-Gyatso at SemEval-2023 Task 4: Identifying Human Values behind Arguments using DeBERTa. (2023) Megjelent: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) pp. 2062-2066
Stefanovitch Nicolas et al. TeamEC at SemEval-2023 Task 4: Transformers VS. Low-Resource Dictionaries, Expert Dictionary VS. Learned Dictionary. (2023) Megjelent: 17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023 pp. 2107-2111
Ghahroodi Omid et al. Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. (2023) Megjelent: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) pp. 2164-2167
Alessandro Raganato et al. SemEval-2023 Task 1: Visual Word Sense Disambiguation. (2023) Megjelent: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) pp. 2227-2234

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