12 citations · 29 across the 6 of their papers we have counts for
13 papers
Equitable Ability Estimation in Neurodivergent Student Populations with Zero-Inflated Learner Models
Niall Twomey, Sarah McMullan, Anat Elhalal +2
At present, the educational data mining community lacks many tools needed for ensuring equitable ability estimation for Neurodivergent (ND) learners. On one hand, most learner mode…
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Mikhail Fain, Niall Twomey, Danushka Bollegala
Cross-lingual text representations have gained popularity lately and act as the backbone of many tasks such as unsupervised machine translation and cross-lingual information retrie…
Evaluation of Field-Aware Neural Ranking Models for Recipe Search
Kentaro Takiguchi, Mikhail Fain, Niall Twomey +1
Explicitly modelling field interactions and correlations in complex document structures has recently gained popularity in neural document embedding and retrieval tasks. Although th…
Hypothesis Testing for Class-Conditional Label Noise
Rafael Poyiadzi, Weisong Yang, Niall Twomey +1
In this paper we provide machine learning practitioners with tools to answer the question: is there class-conditional noise in my labels? In particular, we present hypothesis tests…
Non-Linear Multiple Field Interactions Neural Document Ranking
Kentaro Takiguchi, Niall Twomey, Luis M. Vaquero
Ranking tasks are usually based on the text of the main body of the page and the actions (clicks) of users on the page. There are other elements that could be leveraged to better c…
Towards Multi-Language Recipe Personalisation and Recommendation
Niall Twomey, Mikhail Fain, Andrey Ponikar +1
Multi-language recipe personalisation and recommendation is an under-explored field of information retrieval in academic and production systems. The existing gaps in our current un…