Jack-Ryder at SemEval-2023 Task 5: Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions [PDF]
, 2023 Dirk Wangsadirdja +3 more
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IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task [PDF]
, 2021 Neil Rajiv Shirude +4 more
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SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text
International Workshop on Semantic Evaluation, 2019 In this paper, we present the SemEval-2019 Task 3 - EmoContext: Contextual Emotion Detection in Text. Lack of facial expressions and voice modulations make detecting emotions in text a challenging problem.
Ankush Chatterjee +3 more
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Relation Classification via Recurrent Neural Network with Attention and Tensor Layers
Big Data Mining and Analytics, 2018 Relation classification is a crucial component in many Natural Language Processing (NLP) systems. In this paper, we propose a novel bidirectional recurrent neural network architecture (using Long Short-Term Memory, LSTM, cells) for relation ...
Runyan Zhang +3 more
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SO at SemEval-2020 Task 7: DeepPavlov Logistic Regression with BERT Embeddings vs SVR at Funniness Evaluation [PDF]
, 2020 А. В. Соловьева
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CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text [PDF]
, 2016 Heba Elfardy, Mona Diab
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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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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 Collin Baker +2 more
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On SemEval-2010 Japanese WSD Task
Journal of Natural Language Processing, 2011 An overview of the SemEval-2 Japanese WSD task is presented. The new characteristics of our task are (1) the task will use the first balanced Japanese sense-tagged corpus, and (2) the task will take into account not only the instances that have a sense in the given set but also the instances that have a sense that cannot be found in the set.
Manabu Okumura +3 more
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Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection [PDF]
, 2019 Abdelrhman Saleh +6 more
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