Results 11 to 20 of about 353,852 (269)
Extracting microRNA-gene relations from biomedical literature using distant supervision. [PDF]
PLoS ONE, 2017 Many biomedical relation extraction approaches are based on supervised machine learning, requiring an annotated corpus. Distant supervision aims at training a classifier by combining a knowledge base with a corpus, reducing the amount of manual effort ...
Andre Lamurias +2 more
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Efficient Twitter sentiment classification using subjective distant supervision [PDF]
2017 9th International Conference on Communication Systems and Networks (COMSNETS), 2017 As microblogging services like Twitter are becoming more and more influential in today's globalized world, its facets like sentiment analysis are being extensively studied. We are no longer constrained by our own opinion.
Chandak, C +3 more
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Journal of Medical Internet Research, 2021 BackgroundWeb-based social media provides common people with a platform to express their emotions conveniently and anonymously.
Guanghui Fu +7 more
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Using distant supervision to augment manually annotated data for relation extraction. [PDF]
PLoS ONE, 2019 Significant progress has been made in applying deep learning on natural language processing tasks recently. However, deep learning models typically require a large amount of annotated training data while often only small labeled datasets are available ...
Peng Su +3 more
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Literature mining of protein-residue associations with graph rules learned through distant supervision [PDF]
Journal of Biomedical Semantics, 2012 Background We propose a method for automatic extraction of protein-specific residue mentions from the biomedical literature. The method searches text for mentions of amino acids at specific sequence positions and attempts to correctly associate each ...
Ravikumar KE +4 more
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Relation Extraction Using Distant Supervision [PDF]
ACM Computing Surveys, 2018 Relation extraction is a subtask of information extraction where semantic relationships are extracted from natural language text and then classified. In essence, it allows us to acquire structured knowledge from unstructured text.
Alisa Smirnova, Philippe Cudré-Mauroux
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A Cross-Lingual Distant Supervision Method for Uyghur and Chinese [PDF]
Jisuanji gongcheng, 2023 Distant supervision is an important corpus expansion technology in the field of relation extraction.It can quickly generate pseudo-labeled corpus based on a small amount of annotated corpus.However, traditional distant supervision is mainly used in ...
YANG Zhenyu, WANG Lei, MA Bo, YANG Yating, DONG Rui, Azmat Anwar, WANG Zhen
doaj +1 more source
Classification of Depression on social media using Distant Supervision [PDF]
ITM Web of Conferences, 2022 Amidst Covid-19, young adults have experienced major symptoms of anxiety and/or depression disorder (56%). Mental health issues have been spiking all over the world rapidly.
Vayadande Kuldeep +6 more
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Bridging social media via distant supervision [PDF]
Social Network Analysis and Mining, 2015 Microblog classification has received a lot of attention in recent years. Different classification tasks have been investigated, most of them focusing on classifying microblogs into a small number of classes (five or less) using a training set of manually annotated tweets.
Magdy W +3 more
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Biomedical Relation Extraction Using Distant Supervision [PDF]
Scientific Programming, 2020 With the accelerating growth of big data, especially in the healthcare area, information extraction is more needed currently than ever, for it can convey unstructured information into an easily interpretable structured data. Relation extraction is the second of the two important tasks of relation extraction.
Nada Boudjellal +3 more
openaire +2 more sources