Results 31 to 40 of about 298 (213)
Mapping ESG Trends by Distant Supervision of Neural Language Models
Machine Learning and Knowledge Extraction, 2020 The integration of Environmental, Social and Governance (ESG) considerations into business decisions and investment strategies have accelerated over the past few years. It is important to quantify the extent to which ESG-related conversations are carried
Natraj Raman +2 more
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Semi-supervised Stance Detection of Tweets Via Distant Network Supervision [PDF]
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022 Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection. Today's best neural stance detectors need large volumes of training data, which is difficult to curate given the fast-changing landscape of social media text and issues on which ...
Subhabrata Dutta +3 more
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Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts
IEEE Access, 2021 Named entity recognition (NER) is the process of categorizing named entities in a given text that suffers from the lack of labeled corpora, which is a long-standing issue. Deep neural networks have been successfully applied to NER tasks.
Juae Kim +3 more
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Relation Extraction Using Distant Supervision
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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Distant supervision of relation extraction in sparse data [PDF]
Intelligent Data Analysis, 2019 To extract structured knowledge from unstructured text sources we need to understand the semantic relationships between entities. State-of-the-art relation extraction techniques take advantage of the abundance of data on the web. However, in domains with sparse data such as social networks which have limited occurrences of entities and relationship ...
Ranjbar-Sahraei, Bijan +3 more
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Learning To Recognize Procedural Activities with Distant Supervision
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 In this paper we consider the problem of classifying fine-grained, multi-step activities (e.g., cooking different recipes, making disparate home improvements, creating various forms of arts and crafts) from long videos spanning up to several minutes.
Xudong Lin 0003 +5 more
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Multi-factor person entity relation extraction model based on distant supervision
Tongxin xuebao, 2018 Aiming at the problem that the basic assumption of distant supervision was too strong and easy to produce noise data,a model of the person entity relation extraction which could automatically filter the training data generated by distant supervision was ...
Yangchen HUANG +5 more
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International Journal of Digital Earth, 2022 Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports.
Ming Lin, Meng Jin, Yufu Liu, Yuqi Bai
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BioRel: towards large-scale biomedical relation extraction
BMC Bioinformatics, 2020 Background Although biomedical publications and literature are growing rapidly, there still lacks structured knowledge that can be easily processed by computer programs.
Rui Xing, Jie Luo, Tengwei Song
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IEEE Access, 2020 In recent years, social media messaging app data has served as a precious resource to extract useful information, such as critical clues and evidence in legal trials and criminal investigations.
Seungwook Lee, Youngjoong Ko
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