Delia Irazú Hernández Farías
Delia Irazú Hernández Farías has 4 papers in our library, in 2015–2018, most of them on Sentiment & emotion, English, Idioms & multiword expressions; often with Viviana Patti, Cristina Bosco, Paolo Rosso.
OpenAlex · ORCID · h-index 11 · 38 works · 739 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 15 citations in our library · ⭐ Paper Star rank #5141
Affiliations
Concepts, shelves and topics
📚 Shelves 7 Artificial Intelligence · 4 works Computer Science · 4 works Psychology · 3 works Experimental and Cognitive Psychology · 2 works Arts and Humanities · 1 work Language and Linguistics · 1 work Social Psychology · 1 work
🧭 Topics 3 Sentiment & emotion · 4 works English · 2 works Idioms & multiword expressions · 1 work
Works by year
2010s
Papers
- Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola (2016 · 45 citations)
The authors build TW-BS (TWitterBuonaScuola), a new Italian sentiment analysis resource. It focuses on the 2014 Twitter debate over "La Buona Scuola," the Renzi government's controversial school reform. They chose this reform because its hashtag was the most popular of the three big 2014 reform hashtags. They… - ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm (2015 · 28 citations)
The paper presents the ValenTo team's entry to SemEval-2015 Task 11. The task asks systems to score the sentiment of tweets that contain irony, sarcasm or metaphor on an 11-point scale from −5 to +5. Such figurative devices often flip the literal polarity, and that misleads standard sentiment tools. The authors could… - ValenTO at SemEval-2018 Task 3: Exploring the Role of Affective Content for Detecting Irony in English Tweets (2018 · 13 citations)
The paper describes the ValenTO entry to SemEval-2018 Task 3, which asked systems to detect irony in English tweets (Task A, binary) and to separate types of irony (Task B, four classes). - INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter (2018 · 3 citations)
This paper presents the INAOE-UPV entry to SemEval-2018 Task 3, which asks systems to detect irony in English tweets. Subtask A is a binary ironic/non-ironic decision. Subtask B separates four classes: polarity-contrast verbal irony, other verbal irony, situational irony, and non-irony.
Co-authors here
Venues
- International Workshop on Semantic Evaluation (SemEval) ×3: 2018 ×2, 2015
- Language Resources and Evaluation Conference (LREC): 2016
Cited by
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