4 citations · 4 across the 2 of their papers we have counts for
5 papers
Gender Bias in Transformer Models: A comprehensive survey
Praneeth Nemani, Yericherla Deepak Joel, Palla Vijay +1
Gender bias in artificial intelligence (AI) has emerged as a pressing concern with profound implications for individuals' lives. This paper presents a comprehensive survey that exp…
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu +4
The Event Causality Identification Shared Task of CASE 2022 involved two subtasks working on the Causal News Corpus. Subtask 1 required participants to predict if a sentence contai…
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli +7
Despite the importance of understanding causality, corpora addressing causal relations are limited. There is a discrepancy between existing annotation guidelines of event causality…
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
Alexander Robertson, Farhana Ferdousi Liza, Dong Nguyen +2
The semantics of emoji has, to date, been considered from a static perspective. We offer the first longitudinal study of how emoji semantics changes over time, applying techniques…
Improving Language Modelling with Noise-contrastive estimation
Farhana Ferdousi Liza, Marek Grzes
Neural language models do not scale well when the vocabulary is large. Noise-contrastive estimation (NCE) is a sampling-based method that allows for fast learning with large vocabu…