Results 51 to 60 of about 254,803 (193)
Ground Truth Dataset: Objectionable Web Content
Data, 2022 Cyber parental control aims to filter objectionable web content and prevent children from being exposed to harmful content. Succeeding in detecting and blocking objectionable content depends heavily on the accuracy of the topic model.
Hamza H. M. Altarturi, Nor Badrul Anuar
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Labeling of cell therapies: How can we get it right?
OncoImmunology, 2017 Labeling cells for non-invasive tracking in vivo using magnetic resonance imaging (MRI) is an emerging hot topic garnering ever increasing attention, yet it is fraught with numerous methodological challenges, which merit careful attention. Several of the
Sonia Waiczies +2 more
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Curiosity Based Exploration for Learning Terrain Models
, 2013 We present a robotic exploration technique in which the goal is to learn to a visual model and be able to distinguish between different terrains and other visual components in an unknown environment.
Dudek, Gregory +2 more
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Learning Topic-Sensitive Word Representations [PDF]
, 2017 Distributed word representations are widely used for modeling words in NLP tasks. Most of the existing models generate one representation per word and do not consider different meanings of a word.
Bisazza, Arianna +2 more
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Mining FDA drug labels using an unsupervised learning technique - topic modeling
BMC Bioinformatics, 2011 Background The Food and Drug Administration (FDA) approved drug labels contain a broad array of information, ranging from adverse drug reactions (ADRs) to drug efficacy, risk-benefit consideration, and more.
Xu Xiaowei +4 more
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Decorrelation and shallow semantic patterns for distributional clustering of nouns and verbs [PDF]
, 2009 Distributional approximations to lexical semantics are very useful not only in helping the creation of lexical semantic resources (Kilgariff et al., 2004; Snow et al., 2006), but also when directly applied in tasks that can benefit from large-coverage ...
Versley, Yannick
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A User-Centered Concept Mining System for Query and Document Understanding at Tencent
, 2019 Concepts embody the knowledge of the world and facilitate the cognitive processes of human beings. Mining concepts from web documents and constructing the corresponding taxonomy are core research problems in text understanding and support many downstream
Guo, Weidong +7 more
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Explainable Distance-Based Outlier Detection in Data Streams
IEEE Access, 2022 Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection, and through investigating ...
Theodoros Toliopoulos +1 more
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, 2016 In order to create a corpus exploration method providing topics that are easier to interpret than standard LDA topic models, here we propose combining two techniques called Entity linking and Labeled LDA. Our method identifies in an ontology a series of descriptive labels for each document in a corpus. Then it generates a specific topic for each label.
Nanni, Federico, Ruiz Fabo, Pablo
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Multi-label dataless text classification with topic modeling [PDF]
Knowledge and Information Systems, 2018 Manually labeling documents is tedious and expensive, but it is essential for training a traditional text classifier. In recent years, a few dataless text classification techniques have been proposed to address this problem. However, existing works mainly center on single-label classification problems, that is, each document is restricted to belonging ...
Daochen Zha, Chenliang Li
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