Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Monica Lestari Paramita"'
Autor:
Kalia Orphanou, Monica Lestari Paramita, Frank Hopfgartner, Jahna Otterbacher, Evgenia Christoforou
Publikováno v:
Information processingmanagement. 58(5)
During times of crisis, information access is crucial. Given the opaque processes behind modern search engines, it is important to understand the extent to which the “picture” of the Covid-19 pandemic accessed by users differs. We explore variati
Autor:
Monica Lestari Paramita, Simon Wakeling, Stephen Pinfield, Peter Willett, Claire Creaser, Valerie C.L. Spezi, Jenny Fry
Publikováno v:
Journal of the Association for Information Science and Technology. 70:754-768
Open-access mega-journals (OAMJs) are characterized by their large scale, wide scope, open-access (OA) business model, and "soundness-only" peer review. The last of these controversially discounts the novelty, significance, and relevance of submitted
Autor:
Monica Lestari Paramita, Ziqi Zhang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030307929
ISWC (1)
ISWC (1)
Markup languages such as RDFa and Microdata have been widely used by e-shops to embed structured product data, as evidence has shown that they improve click-through rates for e-shops and potentially increases their sales. While e-shops often embed ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74725b5c31ea41e231a415c0c97cc86f
https://doi.org/10.1007/978-3-030-30793-6_41
https://doi.org/10.1007/978-3-030-30793-6_41
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dfcadcbf6ae306e7d73bff5b3a0087b
https://doi.org/10.1007/978-3-319-99004-0_1
https://doi.org/10.1007/978-3-319-99004-0_1
Autor:
Radu Ion, Ahmet Aker, Nikos Mastropavlos, Dan Tufiș, Robert Gaizauskas, Judita Preiss, Paul Clough, Alexandru Ceausu, Dan Ștefănescu, Olga Yannoutsou, Nikos Glaros, Monica Lestari Paramita
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
The availability of parallel corpora is limited, especially for under-resourced languages and narrow domains. On the other hand, the number of comparable documents in these areas that are freely available on the Web is continuously increasing. Algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5db40df308922cbcda42a336c7192e
https://doi.org/10.1007/978-3-319-99004-0_3
https://doi.org/10.1007/978-3-319-99004-0_3
Autor:
Paul Clough, Fangzhong Su, Robert Gaizauskas, Bogdan Babych, Monica Lestari Paramita, Anthony Hartley, Ahmet Aker
Publikováno v:
Using Comparable Corpora for Under-Resourced Areas of Machine Translation ISBN: 9783319990033
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
Using Comparable Corpora for Under-Resourced Areas of Machine Translation
The concept of comparability, or linguistic relatedness, or closeness between textual units or corpora has many possible applications in computational linguistics. Consequently, the task of measuring comparability has increasingly become a core techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc4ab50261b0242143b7dfcca7bb6b7
https://doi.org/10.1007/978-3-319-99004-0_2
https://doi.org/10.1007/978-3-319-99004-0_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319566078
ECIR
ECIR
Measuring the similarity of interlanguage-linked Wikipedia articles often requires the use of suitable language resources (e.g., dictionaries and MT systems) which can be problematic for languages with limited or poor translation resources. The size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c52ed48e5e6a24ba1f367cbac423af
https://doi.org/10.1007/978-3-319-56608-5_59
https://doi.org/10.1007/978-3-319-56608-5_59
Publikováno v:
Research and Advanced Technology for Digital Libraries ISBN: 9783319670072
TPDL
TPDL
People use digital cultural heritage sites in different ways and for various purposes. In this paper we explore what information people search for and why when using Europeana, one of the world’s largest aggregators of cultural heritage. We gathere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d65abb5d2531d05661ed61f7180aceaf
https://doi.org/10.1007/978-3-319-67008-9_17
https://doi.org/10.1007/978-3-319-67008-9_17
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319566078
ECIR
ECIR
Automatic summarization of reader comments in on-line news is a challenging but clearly useful task. Work to date has produced extractive summaries using well-known techniques from other areas of NLP. But do users really want these, and do they suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c19d786be9171fb794e8ab1f59df95
https://doi.org/10.1007/978-3-319-56608-5_77
https://doi.org/10.1007/978-3-319-56608-5_77
Autor:
Emma Barker, Emina Kurtic, Mark Hepple, Monica Lestari Paramita, Ahmet Aker, Robert Gaizauskas, Adam Funk
Publikováno v:
INLG
Scopus-Elsevier
Scopus-Elsevier
We present a supervised approach to automat- ically labelling topic clusters of reader com- ments to online news. We use a feature set that includes both features capturing proper- ties local to the cluster and features that cap- ture aspects from th