no code implementations • EMNLP (insights) 2020 • Daria Dzendzik, Carl Vogel, Jennifer Foster
In this paper we explore the problem of machine reading comprehension, focusing on the BoolQ dataset of Yes/No questions.
1 code implementation • EMNLP 2021 • Daria Dzendzik, Carl Vogel, Jennifer Foster
This paper surveys 60 English Machine Reading Comprehension datasets, with a view to providing a convenient resource for other researchers interested in this problem.
no code implementations • LREC 2020 • Piyush Arora, Dimitar Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth Jones
In this paper we devote special attention to the automatic translation (AT) component which is crucial for the overall quality of the MMCLIR system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
no code implementations • NAACL 2019 • Daria Dzendzik, Carl Vogel, Jennifer Foster
It has become commonplace for people to share their opinions about all kinds of products by posting reviews online.
no code implementations • IJCNLP 2017 • Daria Dzendzik, Alberto Poncelas, Carl Vogel, Qun Liu
We describe the work of a team from the ADAPT Centre in Ireland in addressing automatic answer selection for the Multi-choice Question Answering in Examinations shared task.
no code implementations • EACL 2017 • Dasha Bogdanova, Jennifer Foster, Daria Dzendzik, Qun Liu
We show that a neural approach to the task of non-factoid answer reranking can benefit from the inclusion of tried-and-tested handcrafted features.