70 citations · 97 across the 15 of their papers we have counts for
4 papers · 1 filter
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study
Maike Züfle, Verna Dankers, Ivan Titov
With the ever-growing presence of social media platforms comes the increased spread of harmful content and the need for robust hate speech detection systems. Such systems easily ov…
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation
Verna Dankers, Ivan Titov, Dieuwke Hupkes
When training a neural network, it will quickly memorise some source-target mappings from your dataset but never learn some others. Yet, memorisation is not easily expressed as a b…
Non-Compositionality in Sentiment: New Data and Analyses
Verna Dankers, Christopher G. Lucas
When natural language phrases are combined, their meaning is often more than the sum of their parts. In the context of NLP tasks such as sentiment analysis, where the meaning of a…
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers, Ivan Titov
A recent line of work in NLP focuses on the (dis)ability of models to generalise compositionally for artificial languages. However, when considering natural language tasks, the dat…