18 citations · 24 across the 6 of their papers we have counts for
6 papers
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez +1
In this work we present an approach for generating alternative text (or alt-text) descriptions for images shared on social media, specifically Twitter. More than just a special cas…
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang, Yury Malkov, Omar Florez +4
Pre-trained language models (PLMs) are fundamental for natural language processing applications. Most existing PLMs are not tailored to the noisy user-generated text on social medi…
Non-Parametric Temporal Adaptation for Social Media Topic Classification
Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He +3
User-generated social media data is constantly changing as new trends influence online discussion and personal information is deleted due to privacy concerns. However, most current…
Learning to Control Latent Representations for Few-Shot Learning of Named Entities
Omar U. Florez, Erik Mueller
Humans excel in continuously learning with small data without forgetting how to solve old problems. However, neural networks require large datasets to compute latent representation…
Aging Memories Generate More Fluent Dialogue Responses with Memory Augmented Neural Networks
Omar U. Florez, Erik Mueller
Memory Networks have emerged as effective models to incorporate Knowledge Bases (KB) into neural networks. By storing KB embeddings into a memory component, these models can learn…
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media
Omar U. Florez
There are concerns that neural language models may preserve some of the stereotypes of the underlying societies that generate the large corpora needed to train these models. For ex…