21 |
Translating pro-drop languages with reconstruction models
|
|
|
|
In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
|
|
BASE
|
|
Show details
|
|
22 |
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/
|
|
BASE
|
|
Hide details
|
|
23 |
Incorporating Chinese radicals into neural machine translation: deeper than character level
|
|
|
|
In: Han, Lifeng orcid:0000-0002-3221-2185 and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
|
|
BASE
|
|
Show details
|
|
24 |
Evaluation of automatic video captioning using direct assessment
|
|
|
|
In: Graham, Yvette, Awad, George M. and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2018) Evaluation of automatic video captioning using direct assessment. PLoS One . ISSN 1932-6203 (2018)
|
|
BASE
|
|
Show details
|
|
25 |
Incorporating Chinese radicals into neural machine translation: deeper Than character level
|
|
|
|
In: Han, Lifeng and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper Than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
|
|
BASE
|
|
Show details
|
|
26 |
Apply Chinese radicals Into neural machine translation/ deeper than character level
|
|
|
|
In: Han, Lifeng orcid:0000-0002-3221-2185 (2018) Apply Chinese radicals Into neural machine translation/ deeper than character level. In: LPRC 2018: Limerick Postgraduate Research Conference, 24 May 2018, Limerick, Ireland. (2018)
|
|
BASE
|
|
Show details
|
|
27 |
Learning to represent, categorise and rank in community question answering
|
|
|
|
In: Bogdanova, Daria (2018) Learning to represent, categorise and rank in community question answering. PhD thesis, Dublin City University. (2018)
|
|
BASE
|
|
Show details
|
|
28 |
The balance between quantitative and qualitative literary stylistics: How the method of "motifs" can help
|
|
|
|
In: The Grammar of Genres and styles ; https://hal.archives-ouvertes.fr/hal-03546266 ; Legallois, Charnois, Larjavaara. The Grammar of Genres and styles, De Gruyter Mouton, 2018, 9783110589689. ⟨10.1515/9783110595864-008⟩ ; https://www-degruyter-com.ezproxy.univ-paris3.fr/document/doi/10.1515/9783110595864/html (2018)
|
|
BASE
|
|
Show details
|
|
29 |
Categorial Proof Nets and Dependency Locality: A New Metric for Linguistic Complexity
|
|
|
|
In: Symposium on Logic and Algorithms in Computational Linguistics ; LACompLing: Logic and Algorithms in Computational Linguistics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01916104 ; LACompLing: Logic and Algorithms in Computational Linguistics, Aug 2018, Stockholm, Sweden. pp.73-86 ; http://staff.math.su.se/rloukanova/LACompLing2018-web/ (2018)
|
|
BASE
|
|
Show details
|
|
30 |
Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner
|
|
|
|
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01888694 ; Cognition, Elsevier, 2018, 173, pp.43 - 59. ⟨10.1016/j.cognition.2017.11.008⟩ (2018)
|
|
BASE
|
|
Show details
|
|
31 |
Explainable, Trustable and Emphatic Artificial Intelligence from Formal Argumentation Theory to Argumentation for Humans
|
|
|
|
In: https://hal.archives-ouvertes.fr/tel-01973555 ; Computer science. UNIVERSITÉ CÔTE D’AZUR, 2018 (2018)
|
|
BASE
|
|
Show details
|
|
32 |
Cohort effects and asymmetrical word-level sound change
|
|
|
|
In: Brendel, Christian Douglas. (2018). Cohort effects and asymmetrical word-level sound change. 0035: Linguistics. Retrieved from: http://www.escholarship.org/uc/item/9489q3fj (2018)
|
|
BASE
|
|
Show details
|
|
33 |
Modeling Events and Affects in Social Media Stories
|
|
|
|
In: Rahimtoroghi, Elahe. (2018). Modeling Events and Affects in Social Media Stories. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/6tk1758v (2018)
|
|
BASE
|
|
Show details
|
|
34 |
An Algorithm for Learning Phonological Classes from Distributional Similarity
|
|
|
|
In: Mayer, Connor. (2018). An Algorithm for Learning Phonological Classes from Distributional Similarity. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/5jp6q2xn (2018)
|
|
BASE
|
|
Show details
|
|
35 |
Separation and acquisition of two languages in early childhood : a multidisciplinary approach ; Séparation et acquisition de deux langues chez le jeune enfant : une approche pluridisciplinaire
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-03394824 ; Cognitive Sciences. Université Paris sciences et lettres, 2018. English. ⟨NNT : 2018PSLEE081⟩ (2018)
|
|
BASE
|
|
Show details
|
|
37 |
Prosodic and Pragmatic Values of Discourse Particles in French
|
|
|
|
In: ExLing 2018 - 9th Tutorial and Research Workshop on Experimental Linguistics ; https://hal.inria.fr/hal-01889925 ; ExLing 2018 - 9th Tutorial and Research Workshop on Experimental Linguistics, Aug 2018, Paris, France (2018)
|
|
BASE
|
|
Show details
|
|
38 |
Language, Cognition, and Computational Models
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018)
|
|
BASE
|
|
Show details
|
|
39 |
Cognifying Model-Driven Software Engineering
|
|
|
|
In: Software Technologies: Applications and Foundations ; https://hal-cea.archives-ouvertes.fr/cea-02572650 ; Software Technologies: Applications and Foundations, pp.154-160, 2018, ⟨10.1007/978-3-319-74730-9_13⟩ (2018)
|
|
BASE
|
|
Show details
|
|
40 |
Boost your eHumanities and eHeritage research with Research Infrastructures (PARTHENOS Webinar)
|
|
|
|
In: https://hal.archives-ouvertes.fr/cel-01784097 ; 3rd cycle. Germany. 2018 (2018)
|
|
BASE
|
|
Show details
|
|
|
|