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Detecting Controversial Articles on Citizen Journalism
Jurnal Ilmu Komputer dan Informasi, 2018 Someone's understanding and stance on a particular controversial topic can be influenced by daily news or articles he consume everyday. Unfortunately, readers usually do not realize that they are reading controversial articles.
Alfan Farizki Wicaksono +2 more
doaj +1 more source
Neural Coreference Resolution for Dutch Parliamentary Documents with the DutchParliament Dataset
Data, 2023 The task of coreference resolution concerns the clustering of words and phrases referring to the same entity in text, either in the same document or across multiple documents.
Ruben van Heusden +2 more
doaj +1 more source
A Deep Look into Neural Ranking Models for Information Retrieval [PDF]
Information Processing & Management, 2019 Ranking models lie at the heart of research on information retrieval (IR). During the past decades, different techniques have been proposed for constructing ranking models, from traditional heuristic methods, probabilistic methods, to modern machine ...
J. Guo +8 more
semanticscholar +1 more source
Evaluating Multimedia and Language Tasks
Frontiers in Artificial Intelligence, 2020 Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989.
Ian Soboroff +5 more
doaj +1 more source
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval focusing on predicting relevancy given
Jun Wang +7 more
semanticscholar +1 more source
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Sensors, 2022 We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images.
Zhaohui Liang +2 more
doaj +1 more source
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
BMC Bioinformatics, 2018 Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta +4 more
doaj +1 more source
Multilingual multi-aspect explainability analyses on machine reading comprehension models
iScience, 2022 Summary: Achieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs).
Yiming Cui +5 more
doaj +1 more source
Bibliometric-Enhanced Information Retrieval [PDF]
, 2014 6 pages, accepted workshop proposal for ECIR ...
Mayr, Philipp +4 more
openaire +3 more sources
Proceedings of IEEE 36th Annual Foundations of Computer Science, 1995 We describe schemes that enable a user to access k replicated copies of a database (k/spl ges/2) and privately retrieve information stored in the database. This means that each individual database gets no information on the identity of the item retrieved
B. Chor +3 more
semanticscholar +1 more source