18 citations · 19 across the 6 of their papers we have counts for
8 papers · 1 filter
Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation
Joanne Boisson, Zara Siddique, Hsuvas Borkakoty +3
Extracting metaphors and analogies from free text requires high-level reasoning abilities such as abstraction and language understanding. Our study focuses on the extraction of the…
Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation
Dimosthenis Antypas, Indira Sen, Carla Perez-Almendros +2
The detection of sensitive content in large datasets is crucial for ensuring that shared and analysed data is free from harmful material. However, current moderation tools, such as…
Multilingual Topic Classification in X: Dataset and Analysis
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +1
In the dynamic realm of social media, diverse topics are discussed daily, transcending linguistic boundaries. However, the complexities of understanding and categorising this conte…
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung, Nayeon Lee, Yi Zhou +19
Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…
SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri +5
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the…
Robust Hate Speech Detection in Social Media: A Cross-Dataset Empirical Evaluation
Dimosthenis Antypas, Jose Camacho-Collados
The automatic detection of hate speech online is an active research area in NLP. Most of the studies to date are based on social media datasets that contribute to the creation of h…