NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs

Author:

Baziotis Christos,Nikolaos Athanasiou,Papalampidi Pinelopi,Kolovou Athanasia,Paraskevopoulos Georgios,Ellinas Nikolaos,Potamianos Alexandros

Publisher

Association for Computational Linguistics

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generative Pre-trained Transformer (GPT) Models for Irony Detection and Classification;2023 4th International Informatics and Software Engineering Conference (IISEC);2023-12-21

2. Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

3. Ensemble-based domain adaptation on social media posts for irony detection;Multimedia Tools and Applications;2023-08-14

4. Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony;Information Sciences;2023-05

5. Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis;Multimedia Tools and Applications;2023-03-02

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