Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Vassilis Plachouras"'
Autor:
Thomas Risse, Elena Demidova, Stefan Dietze, Wim Peters, Nikolaos Papailiou, Katerina Doka, Yannis Stavrakas, Vassilis Plachouras, Pierre Senellart, Florent Carpentier, Amin Mantrach, Bogdan Cautis, Patrick Siehndel, Dimitris Spiliotopoulos
Publikováno v:
Future Internet, Vol 6, Iss 4, Pp 688-716 (2014)
The constantly growing amount ofWeb content and the success of the SocialWeb lead to increasing needs for Web archiving. These needs go beyond the pure preservationo of Web pages. Web archives are turning into “community memories” that aim at bui
Externí odkaz:
https://doaj.org/article/fa454bb181df4ff5939c5e7c57686b36
Autor:
Vassilis Plachouras, Florent Carpentier, Muhammad Faheem, Julien Masanès, Thomas Risse, Pierre Senellart, Patrick Siehndel, Yannis Stavrakas
Publikováno v:
Future Internet, Vol 6, Iss 3, Pp 518-541 (2014)
The World Wide Web is the largest information repository available today. However, this information is very volatile and Web archiving is essential to preserve it for the future. Existing approaches to Web archiving are based on simple definitions of
Externí odkaz:
https://doaj.org/article/ec5ee55717a648f5aa26fb3022e888c3
Publikováno v:
PeerJ Computer Science, Vol 2, p e46 (2016)
Drug repositioning methods attempt to identify novel therapeutic indications for marketed drugs. Strategies include the use of side-effects to assign new disease indications, based on the premise that both therapeutic effects and side-effects are mea
Externí odkaz:
https://doaj.org/article/9a5b9a06e46b4a6dade78d48ab6cfda4
Autor:
Federico Errica, Ludovic Denoyer, Fabrizio Silvestri, Fabio Petroni, Vassilis Plachouras, Bora Edizel, Sebastian Riedel
Publikováno v:
IJCNN
In many applications that rely on machine learning, the availability of labelled data is a matter of primary importance. However, when tackling new tasks, labels are usually missing and must be collected from scratch by the users. In this work, we ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950acb3bd718725832cdabd379c39ea5
https://doi.org/10.1109/ijcnn52387.2021.9533640
https://doi.org/10.1109/ijcnn52387.2021.9533640
Autor:
Patrick S. H. Lewis, Nicola De Cao, Aleksandra Piktus, Yacine Jernite, Jean Maillard, Angela Fan, James Thorne, Vassilis Plachouras, Vladimir Karpukhin, Tim Rocktäschel, Sebastian Riedel, Majid Yazdani, Fabio Petroni
Publikováno v:
NAACL-HLT
Challenging problems such as open-domain question answering, fact checking, slot filling and entity linking require access to large, external knowledge sources. While some models do well on individual tasks, developing general models is difficult as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::858c48f1c93a18c525f01a73ceda1250
Autor:
Fabio Petroni, Fabrizio Silvestri, Sebastian Riedel, Myle Ott, Vassilis Plachouras, Luca Massarelli, Tim Rocktäschel, Aleksandra Piktus
Publikováno v:
EMNLP (Findings)
Recent progress in pre-trained language models led to systems that are able to generate text of an increasingly high quality. While several works have investigated the fluency and grammatical correctness of such models, it is still unclear to which e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e467f6dcdde9937ce4557a3ea48756
https://doi.org/10.18653/v1/2020.findings-emnlp.22
https://doi.org/10.18653/v1/2020.findings-emnlp.22
Publikováno v:
SIGIR
The spread of misinformation online is a challenge that may have an impact on society by misleading and undermining the trust of people in domains such as politics or public health. While fact-checking is one way to identify misinformation, it is a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc48ffa1b4df5fad7641c24909c68137
https://doi.org/10.1145/3331184.3331645
https://doi.org/10.1145/3331184.3331645
Autor:
Vassilis Plachouras
Publikováno v:
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ea7bb513c8cbd222b3edadd64a4c5c
https://doi.org/10.1007/978-1-4614-8265-9_938
https://doi.org/10.1007/978-1-4614-8265-9_938
Publikováno v:
NAACL-HLT
The widespread use of word embeddings is associated with the recent successes of many natural language processing (NLP) systems. The key approach of popular models such as word2vec and GloVe is to learn dense vector representations from the context o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54fb2d72929989caeac8a1a1d07f5b23
https://doi.org/10.18653/v1/n18-1042
https://doi.org/10.18653/v1/n18-1042
Publikováno v:
NAACL-HLT (2)
Taxonomies are often used to look up the concepts they contain in text documents (for instance, to classify a document). The more comprehensive the taxonomy, the higher recall the application has that uses the taxonomy. In this paper, we explore auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18792bf13f880f453afbe1d3666bd5a
https://doi.org/10.18653/v1/n18-2051
https://doi.org/10.18653/v1/n18-2051