1 citations · 6 across the 7 of their papers we have counts for
10 papers
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages
Ibrahim Said Ahmad, Shiran Dudy, Tadesse Destaw Belay +4
Understanding how emotions are expressed across languages is vital for building culturally-aware and inclusive NLP systems. However, emotion expression in African languages is unde…
Analyzing Cultural Representations of Emotions in LLMs through Mixed Emotion Survey
Shiran Dudy, Ibrahim Said Ahmad, Ryoko Kitajima +1
Large Language Models (LLMs) have gained widespread global adoption, showcasing advanced linguistic capabilities across multiple of languages. There is a growing interest in academ…
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT
Ibrahim Said Ahmad, Shiran Dudy, Resmi Ramachandranpillai +1
Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotio…
Dependency Dialogue Acts -- Annotation Scheme and Case Study
Jon Z. Cai, Brendan King, Margaret Perkoff +9
In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts fe…
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
Katharina Kann, Shiran Dudy, Arya D. McCarthy
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the…
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
Michael Alan Chang, Shiran Dudy
Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a…
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
Adam Wiemerslage, Shiran Dudy, Katharina Kann
Neural networks have long been at the center of a debate around the cognitive mechanism by which humans process inflectional morphology. This debate has gravitated into NLP by way…
Refocusing on Relevance: Personalization in NLG
Shiran Dudy, Steven Bedrick, Bonnie Webber
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response. This standard ap…
Are Some Words Worth More than Others?
Shiran Dudy, Steven Bedrick
Current evaluation metrics for language modeling and generation rely heavily on the accuracy of predicted (or generated) words as compared to a reference ground truth. While import…
BciPy: Brain-Computer Interface Software in Python
Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead +4
There are high technological and software demands associated with conducting brain-computer interface (BCI) research. In order to accelerate the development and accessibility of BC…