Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bikash, Gyawali"'
Autor:
Petr Knoth, Drahomira Herrmannova, Matteo Cancellieri, Lucas Anastasiou, Nancy Pontika, Samuel Pearce, Bikash Gyawali, David Pride
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract This paper introduces CORE, a widely used scholarly service, which provides access to the world’s largest collection of open access research publications, acquired from a global network of repositories and journals. CORE was created with t
Externí odkaz:
https://doaj.org/article/4f2aa02f22834dfba56eb52d9c778e30
Autor:
Matteo Cancellieri, Helene Brinken, Petr Knoth, David Pride, Nancy Pontika, Antonia Corriea, Bikash Gyawali
Publikováno v:
Open Research Europe, Vol 2 (2022)
We present a novel dataset which enables quantitative analysis of the relationship between institutional support for Open Science and research performance. We analysed promotion, review, and tenure policies (PRT) from institutions originating from se
Externí odkaz:
https://doaj.org/article/9aa271cee22f4381baecb5c853a5e6de
Autor:
Nancy Pontika, Bikash Gyawali, Antonia Corriea, Helene Brinken, David Pride, Matteo Cancellieri, Petr Knoth
Publikováno v:
Open Research Europe
We present a novel dataset which enables quantitative analysis of the relationship between institutional support for Open Science and research performance. We analysed promotion, review, and tenure policies (PRT) from institutions originating from se
Autor:
Bikash Gyawali, Petr Knoth, Christopher G. Stahl, David Pride, Suchetha N. Kunnath, Drahomira Herrmannova
Publikováno v:
JCDL
The entire body of research literature is currently estimated at 100-150 million publications with an annual increase of around 1.5 million. Systematically reading and analysing the full body of knowledge is now beyond the capacities of any human bei
Publikováno v:
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
JCDL
In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20)
JCDL
In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20)
Each year the number of Open Access (OA) papers is gradually increasing. We carried out a study investigating 400 universities from 8 countries to examine: i) the total number of OA papers per country, ii) proportion of OA papers published by represe
These slides were presented at FORCE2019, Edinburgh, Scotland. This presentation described that while readers can access research literature their university subscribes to quite easily, it is not possible for text and data miners to machine access re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24d9086dc0fac7d946bdd267f3586cfe
Publikováno v:
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG)
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), Sep 2015, Brighton, United Kingdom. pp.18--27
ENLG
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), Sep 2015, Brighton, United Kingdom. pp.18--27
ENLG
International audience; We present a method for automatically generating descriptions of biological events encoded in the KB Bio 101 Knowledge base. We evaluate our approach on a corpus of 336 event descriptions, provide a qualitative and quantitativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f031768fce6206db3555533f18d4e5dc
https://inria.hal.science/hal-01207155
https://inria.hal.science/hal-01207155
Autor:
Claire Gardent, Bikash Gyawali
Publikováno v:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics
the 52nd Annual Meeting of the Association for Computational Linguistics
the 52nd Annual Meeting of the Association for Computational Linguistics, Jun 2014, Baltimore, United States. pp.424-434
ACL (1)
the 52nd Annual Meeting of the Association for Computational Linguistics
the 52nd Annual Meeting of the Association for Computational Linguistics, Jun 2014, Baltimore, United States. pp.424-434
ACL (1)
Natural Language Generation (NLG) is the task of automatically producing natural language text to describe information present in non-linguistic data. It involves three main subtasks: (i) selecting the relevant portion of input data; (ii) determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b8d649c1b38abf5a0ac3f3820e538a
https://hal.science/hal-01021916
https://hal.science/hal-01021916
Autor:
Gyawali, Bikash
Natural Language Generation (NLG) is the task of automatically producing natural language text to describe information present in non-linguistic data. It involves three main subtasks: (i) selecting the relevant portion of input data; (ii) determining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::42ff78d60049fb7e9ff2551ca47b46b4
https://hal.inria.fr/tel-01754499v2
https://hal.inria.fr/tel-01754499v2
Publikováno v:
International Workshop on Definitions in Ontologies (IWOOD 2015)
International Workshop on Definitions in Ontologies (IWOOD 2015), Jul 2015, Lisbon, Portugal
International Workshop on Definitions in Ontologies (IWOOD 2015), Jul 2015, Lisbon, Portugal
International audience; We present a method for automatically generating descriptions of biological events encoded in the KB BIO 101 Knowledge base. In this knowledge base, events are concepts (e.g., RELEASE) related by role relations (e.g., AGENT, P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dac5d93ead6b701459bce5ece02dd04b
https://hal.inria.fr/hal-01214569
https://hal.inria.fr/hal-01214569