24 citations · 50 across the 14 of their papers we have counts for
14 papers
MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Computational recognition of verbal humour remains a challenging task, requiring an understanding of language, delivery style, emotions, and cultural context. Most existing approac…
Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusion
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Fusing multiple modalities is expected to improve model performance. However, on the MultiHuSE dataset, early, late, and symmetric attention fusion often fail to outperform the bes…
Detection of Self-Introductions in Legislative Testimony
Sofija Dimitrijevic, Pallavi Das, Kasey Liu +1
Self-introductions are common in legislative committee testimonies. Successfully detecting them and extracting the speaker's name is enormously helpful in the task of speaker ident…
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Humour styles can have either a negative or a positive impact on well-being. Given the importance of these styles to mental health, significant research has been conducted on their…
A Two-Model Approach for Humour Style Recognition
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Humour, a fundamental aspect of human communication, manifests itself in various styles that significantly impact social interactions and mental health. Recognising different humou…
Exploring Description-Augmented Dataless Intent Classification
Ruoyu Hu, Foaad Khosmood, Abbas Edalat
In this work, we introduce several schemes to leverage description-augmented embedding similarity for dataless intent classification using current state-of-the-art (SOTA) text embe…
Systematic Literature Review: Computational Approaches for Humour Style Classification
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Understanding various humour styles is essential for comprehending the multifaceted nature of humour and its impact on fields such as psychology and artificial intelligence. This u…
Improving Startup Success with Text Analysis
Emily Gavrilenko, Foaad Khosmood, Mahdi Rastad +1
Investors are interested in predicting future success of startup companies, preferably using publicly available data which can be gathered using free online sources. Using public-o…
An Empathetic AI Coach for Self-Attachment Therapy
Lisa Alazraki, Ali Ghachem, Neophytos Polydorou +2
In this work, we present a new dataset and a computational strategy for a digital coach that aims to guide users in practicing the protocols of self-attachment therapy. Our framewo…
Evaluation of Automatic Text Summarization using Synthetic Facts
Jay Ahn, Foaad Khosmood
Despite some recent advances, automatic text summarization remains unreliable, elusive, and of limited practical use in applications. Two main problems with current summarization m…
Two Decades of Game Jams
Gorm Lai, Annakaisa Kultima, Foaad Khosmood +5
In less than a year's time, March 2022 will mark the twentieth anniversary of the first documented game jam, the Indie Game Jam, which took place in Oakland, California in 2002. In…
Feature Engineering for US State Legislative Hearings: Stance, Affiliation, Engagement and Absentees
Josh Grace, Foaad Khosmood
In US State government legislatures, most of the activity occurs in committees made up of lawmakers discussing bills. When analyzing, classifying or summarizing these committee pro…
Introducing: The Game Jam License
Gorm Lai, Kai Erenli, Foaad Khosmood +1
Since their inception at the Indie Game Jam in 2002, a significant part of game jams has been knowledge sharing and showcasing ideas and work to peers. While various licensing mech…
A Framework for Complementary Companion Character Behavior in Video Games
Gavin Scott, Foaad Khosmood
We propose a game development framework capable of governing the behavior of complementary companions in a video game. A "complementary" action is contrasted with a mimicking actio…