22 citations · 36 across the 5 of their papers we have counts for
5 papers
Neural Multi-task Learning in Automated Assessment
Ronan Cummins, Marek Rei
Grammatical error detection and automated essay scoring are two tasks in the area of automated assessment. Traditionally these tasks have been treated independently with different…
Modelling Word Burstiness in Natural Language: A Generalised Polya Process for Document Language Models in Information Retrieval
Ronan Cummins
We introduce a generalised multivariate Polya process for document language modelling. The framework outlined here generalises a number of statistical language models used in infor…
Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays
Marek Rei, Ronan Cummins
We investigate the task of assessing sentence-level prompt relevance in learner essays. Various systems using word overlap, neural embeddings and neural compositional models are ev…
Improved Query Topic Models via Pseudo-Relevant Pólya Document Models
Ronan Cummins
Query-expansion via pseudo-relevance feedback is a popular method of overcoming the problem of vocabulary mismatch and of increasing average retrieval effectiveness. In this paper,…
A Polya Urn Document Language Model for Improved Information Retrieval
Ronan Cummins, Jiaul Hoque Paik, Yuanhua Lv
The multinomial language model has been one of the most effective models of retrieval for over a decade. However, the multinomial distribution does not model one important linguist…