🧑‍🔬 Suzana Ilić

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Deep contextualized word representations for detecting sarcasm and irony (2018 · 142 citations)
   Sarcasm and irony often flip the literal polarity of a text, which makes them hard for sentiment and opinion-mining systems.
2. IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets (2018 · 3 citations)
   The paper describes the IIIDYT entry to SemEval-2018 Task 3, subtask A. The task is a binary decision on whether an English tweet is ironic. The authors avoided heavy hand-crafted linguistic or contextual features and used representation learning instead. Their model is a multi-layer bidirectional LSTM whose last…

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Edison Marrese-Taylor ×2
• Jorge Balazs ×2
• Yutaka Matsuo ×2
• Helmut Prendinger

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Workshop on Semantic Evaluation (SemEval): SemEval 2018
• Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2018

🔗 Cited by

Papers of our library cite their works 20 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 24 October 2026

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