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Daria Dzendzik
Daria Dzendzik
ADAPT Centre
Verified email at adaptcentre.ie
Title
Cited by
Cited by
Year
English machine reading comprehension datasets: A survey
D Dzendzik, C Vogel, J Foster
arXiv preprint arXiv:2101.10421, 2021
492021
If you can’t beat them join them: handcrafted features complement neural nets for non-factoid answer reranking
D Bogdanova, J Foster, D Dzendzik, Q Liu
Proceedings of the 15th Conference of the European Chapter of the …, 2017
182017
Is it dish washer safe? automatically answering “yes/no” questions using customer reviews
D Dzendzik, C Vogel, J Foster
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
82019
Who framed Roger Rabbit? Multiple choice questions answering about movie plot
D Dzendzik, C Vogel, Q Liu
The Joint Video and Language Understanding Workshop: MovieQA and The Large …, 2017
42017
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!
D Dzendzik, C Vogel, J Foster
Proceedings of the First Workshop on Insights from Negative Results in NLP, 6-14, 2020
32020
An investigative study of multi-modal cross-lingual retrieval
P Arora, D Shterionov, Y Moriya, A Kaushik, D Dzendzik, G Jones
Proceedings of the workshop on Cross-Language Search and Summarization of …, 2020
32020
ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task
D Dzendzik, A Poncelas, C Vogel, Q Liu
Proceedings of the IJCNLP 2017, Shared Tasks, 67-72, 2017
32017
Semi-automatic generation of linear event extraction patterns for free texts
D DARYA, S SERGEY
Ученые записки Казанского университета. Серия Физико-математические науки …, 2013
32013
English machine reading comprehension: new approaches to answering multiple-choice questions
D Dzendzik
Dublin City University, 2021
2021
SEMI-AUTOMATIC GENERATION OF LINEAR EVENT EXTRACTION PATTERNS FOR FREE TEXTS//Ученые записки КФУ. Физико-математические науки 2013 том155 N4
S Sergey, D Darya
2013
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Articles 1–10