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English machine reading comprehension: new approaches to answering multiple-choice questions
Dzendzik, Daria. - : Dublin City University. School of Computing, 2021. : Dublin City University. ADAPT, 2021
In: Dzendzik, Daria (2021) English machine reading comprehension: new approaches to answering multiple-choice questions. PhD thesis, Dublin City University. (2021)
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The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task ...
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Revisiting Tri-training of Dependency Parsers ...
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English Machine Reading Comprehension Datasets: A Survey ; Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Vogel, Carl; Foster, Jennifer; Dzendzik, Daria. - : Association for Computational Linguistics, 2021
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Annotating verbal MWEs in Irish for the PARSEME Shared Task 1.2
In: Walsh, Abigail, Lynn, Teresa and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Annotating verbal MWEs in Irish for the PARSEME Shared Task 1.2. In: Joint Workshop on Multiword Expressions and Electronic Lexicons, 13 Dec 2020, Barcelona, Spain (Online). (2020)
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Improving document-level sentiment analysis with user and product context
In: Lyu, Chenyang, Foster, Jennifer orcid:0000-0002-7789-4853 and Graham, Yvette (2020) Improving document-level sentiment analysis with user and product context. In: Proceedings of the 28th International Conference on Computational Linguistics, 8-13 Dec 20, Barcelona, Spain (Online). (2020)
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How to make neural natural language generation as reliable as templates in task-oriented dialogue
In: Elder, Henry, O'Connor, Alexander orcid:0000-0003-0301-999X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) How to make neural natural language generation as reliable as templates in task-oriented dialogue. In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 16-20 Nov 2020, Online. (2020)
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8
Treebank embedding vectors for out-of-domain dependency parsing
In: Wagner, Joachim orcid:0000-0002-8290-3849 , Barry, James orcid:0000-0003-3051-585X and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Treebank embedding vectors for out-of-domain dependency parsing. In: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 05-10 Jul 2020, Online (virtual conference). (2020)
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9
Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated!
In: Dzendzik, Daria, Vogel, Carl orcid:0000-0001-8928-8546 and Foster, Jennifer orcid:0000-0002-7789-4853 (2020) Q. Can knowledge graphs be used to answer Boolean questions? A. It’s complicated! In: First Workshop on Insights from Negative Results in NLP, 10 Nov 2020, Online. (2020)
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Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study
In: Barry, James orcid:0000-0003-3051-585X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2019) Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study. In: The 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019), 3 - 5 Nov 2019, Hong Kong, China. ISBN 978-1-950737-78-9 (2019)
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11
Automatic processing of code-mixed social media content
Barman, Utsab. - : Dublin City University. School of Computing, 2019. : Dublin City University. ADAPT, 2019
In: Barman, Utsab (2019) Automatic processing of code-mixed social media content. PhD thesis, Dublin City University. (2019)
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12
Promoting user engagement and learning in search tasks by effective document representation
Arora, Piyush. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018
In: Arora, Piyush orcid:0000-0002-4261-2860 (2018) Promoting user engagement and learning in search tasks by effective document representation. PhD thesis, Dublin City University. (2018)
Abstract: Much research in information retrieval (IR) focuses on optimisation of the rank of relevant retrieval results for single shot ad hoc IR tasks. Relatively little research has been carried out on supporting and promoting user engagement within search tasks. We seek to improve user experience by use of enhanced document snippets to be presented during the search process to promote user engagement with retrieved information. The primary role of document snippets within search has traditionally been to indicate the potential relevance of retrieved items to the user’s information need. Beyond the relevance of an item, it is generally not possible to infer the contents of individual ranked results just by reading the current snippets. We hypothesise that the creation of richer document snippets and summaries, and effective presentation of this information to users will promote effective search and greater user engagement, and support emerging areas such as learning through search. We generate document summaries for a given query by extracting top relevant sentences from retrieved documents. Creation of these summaries goes beyond exist- ing snippet creation methods by comparing content between documents to take into account novelty when selecting content for inclusion in individual document sum- maries. Further, we investigate the readability of the generated summaries with the overall goal of generating snippets which not only help a user to identify document relevance, but are also designed to increase the user’s understanding and knowledge of a topic gained while inspecting the snippets. We perform a task-based user study to record the user’s interactions, search be- haviour and feedback to evaluate the effectiveness of our snippets using qualitative and quantitative measures. In our user study, we found that richer snippets generated in this work improved the user experience and topical knowledge, and helped users to learn about the topic effectively.
Keyword: Computational linguistics; effective document representation; Information retrieval; Information storage and retrieval systems; Interactive computer systems; Interactive search; learning in search; user engagement
URL: http://doras.dcu.ie/22652/
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Learning to represent, categorise and rank in community question answering
Bogdanova, Daria. - : Dublin City University. School of Computing, 2018
In: Bogdanova, Daria (2018) Learning to represent, categorise and rank in community question answering. PhD thesis, Dublin City University. (2018)
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14
Irish dependency treebanking and parsing
Lynn, Teresa. - : Dublin City University. School of Computing, 2016. : Dublin City University. ADAPT, 2016
In: Lynn, Teresa (2016) Irish dependency treebanking and parsing. PhD thesis, Dublin City University. (2016)
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15
This is how we do it: Answer reranking for open-domain how questions with paragraph vectors and minimal feature engineering
In: Bogdanova, Dasha and Foster, Jennifer orcid:0000-0002-7789-4853 (2016) This is how we do it: Answer reranking for open-domain how questions with paragraph vectors and minimal feature engineering. In: The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 16), 12-17 Jun 2016, San Diego, CA. (2016)
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16
DCU-ADAPT: Learning edit operations for microblog normalisation with the generalised perceptron
In: Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2015) DCU-ADAPT: Learning edit operations for microblog normalisation with the generalised perceptron. In: ACL 2015 Workshop on Noisy User-generated Text (W-NUT), 31 July 2015, Beijing, China. (2015)
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17
The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content
Zadeh Kaljahi, Rasoul Samad. - : Dublin City University. School of Computing, 2015. : Dublin City University. National Centre for Language Technology (NCLT), 2015. : Dublin City University. ADAPT, 2015
In: Zadeh Kaljahi, Rasoul Samad (2015) The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content. PhD thesis, Dublin City University. (2015)
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18
DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2
In: Arora, Piyush orcid:0000-0002-4261-2860 , Hokamp, Chris orcid:0000-0002-7850-9398 , Foster, Jennifer orcid:0000-0002-7789-4853 and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2015) DCU: using distributional semantics and domain adaptation for the semantic textual similarity SemEval-2015 Task 2. In: International Workshop on Semantic Evaluation (SemEval 2015), 4-5 June 2015, Denver, Co. USA. (2015)
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19
Code mixing: a challenge for language identification in the language of social media
In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014)
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20
DCU: aspect-based polarity classification for SemEval task 4
In: Wagner, Joachim orcid:0000-0002-8290-3849 , Arora, Piyush orcid:0000-0002-4261-2860 , Cortes, Santiago, Barman, Utsab, Bogdanova, Dasha, Foster, Jennifer orcid:0000-0002-7789-4853 and Tounsi, Lamia (2014) DCU: aspect-based polarity classification for SemEval task 4. In: International Workshop on Semantic Evaluation (SemEval-2014), 23-24 Aug 2014, Dublin, Ireland. ISBN 978-1-941643-24-2 (2014)
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