7 citations · 8 across the 7 of their papers we have counts for
7 papers
Generating Concept Lexicalizations via Dictionary-Based Cross-Lingual Sense Projection
David Basil, Chirooth Girigowda, Bradley Hauer +3
We study the task of automatically expanding WordNet-style lexical resources to new languages through sense generation. We generate senses by associating target-language lemmas wit…
Dorabella Cipher as Musical Inspiration
Bradley Hauer, Colin Choi, Abram Hindle +2
The Dorabella cipher is an encrypted note written by English composer Edward Elgar, which has defied decipherment attempts for more than a century. While most proposed solutions ar…
Cross-Modal Consistency in Multimodal Large Language Models
Xiang Zhang, Senyu Li, Ning Shi +5
Recent developments in multimodal methodologies have marked the beginning of an exciting era for models adept at processing diverse data types, encompassing text, audio, and visual…
UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation
Michael Ogezi, Bradley Hauer, Talgat Omarov +2
We describe the systems of the University of Alberta team for the SemEval-2023 Visual Word Sense Disambiguation (V-WSD) Task. We present a novel algorithm that leverages glosses re…
Semantically-Prompted Language Models Improve Visual Descriptions
Michael Ogezi, Bradley Hauer, Grzegorz Kondrak
Language-vision models like CLIP have made significant strides in vision tasks, such as zero-shot image classification (ZSIC). However, generating specific and expressive visual de…
Don't Trust ChatGPT when Your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
Xiang Zhang, Senyu Li, Bradley Hauer +2
Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in rece…
UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection
Bradley Hauer, Seeratpal Jaura, Talgat Omarov +1
We describe the University of Alberta systems for the SemEval-2022 Task 2 on multilingual idiomaticity detection. Working under the assumption that idiomatic expressions are noncom…