343 citations · 350 across the 5 of their papers we have counts for
4 papers · 1 filter
Learning Robust Negation Text Representations
Thinh Hung Truong, Karin Verspoor, Trevor Cohn +1
Despite rapid adoption of autoregressive large language models, smaller text encoders still play an important role in text understanding tasks that require rich contextualized repr…
Learning Robust Representations of Text
Yitong Li, Trevor Cohn, Timothy Baldwin
Deep neural networks have achieved remarkable results across many language processing tasks, however these methods are highly sensitive to noise and adversarial attacks. We present…
Using Gaussian Processes for Rumour Stance Classification in Social Media
Michal Lukasik, Kalina Bontcheva, Trevor Cohn +3
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news. Interestingly, one can mine multiple reactions expressed by social media us…
Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari +1
Efficient methods for storing and querying are critical for scaling high-order n-gram language models to large corpora. We propose a language model based on compressed suffix trees…