1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task [PDF]
, 2022 Zhiyong Wang +2 more
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SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge [PDF]
, 2018 Simon Ostermann +4 more
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YNU-HPCC at SemEval-2022 Task 5: Multi-Modal and Multi-label Emotion Classification Based on LXMERT [PDF]
, 2022 Chao Han, Jin Wang, Xuejie Zhang
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A Hybrid Deep Implicit Neural Model for Sentiment Analysis via Transfer Learning
IEEE AccessWe present a neural model for sentiment analysis of social network texts with a special focus on cryptocurrency-related content using deep transfer learning. A challenge of deep learning is its need for abundant data.
Kia Jahanbin, Mohammad Ali Zare Chahooki
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HW-TSC at SemEval-2022 Task 3: A Unified Approach Fine-tuned on Multilingual Pretrained Model for PreTENS [PDF]
, 2022 Yinglu Li +3 more
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NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge [PDF]
, 2018 Yow-Ting Shiue +2 more
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KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media [PDF]
, 2020 Ali Safaya +2 more
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 Collin Baker +2 more
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ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection [PDF]
, 2018 Yunxiao Zhou, Man Lan, Yuanbin Wu
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NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic\n Offensive Language Detection in Arabic Tweets [PDF]
, 2020 Hamada Nayel
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