Factoid Question Answering with Distant Supervision
Entropy, 2018 Automatic question answering (QA), which can greatly facilitate the access to information, is an important task in artificial intelligence. Recent years have witnessed the development of QA methods based on deep learning.
Kun Fu, Ting-Lei Huang, Hongzhi Zhang
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EANT: Distant Supervision for Relation Extraction with Entity Attributes via Negative Training
Applied Sciences (Switzerland), 2022 Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation.
Huang Xinli
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Distant Supervision for Relation Extraction with Ranking-Based Methods
Entropy, 2016 Relation extraction has benefited from distant supervision in recent years with the development of natural language processing techniques and data explosion.
Xiaolong Wang +2 more
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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
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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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Identification of asthma control factor in clinical notes using a hybrid deep learning model
BMC Medical Informatics and Decision Making, 2021 Background There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician’s documentation is not feasible using only structured data but requires labor-intensive chart review of electronic health ...
Bhavani Singh Agnikula Kshatriya +6 more
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Improving Distant Supervised Relation Extraction with Noise Detection Strategy
Applied Sciences, 2021 Distant supervised relation extraction (DSRE) is widely used to extract novel relational facts from plain text, so as to improve the knowledge graph.
Xiaoyan Meng +5 more
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Cross-Sentence Bag Relation Extraction Method Combining Entity Description Information [PDF]
Jisuanji gongcheng, 2021 Distant supervision can significantly reduce the cost of labeling, but the existing methods ignore the correlation information between relations and entity description information.To address the problem, this paper proposes a new cross-sentence bag ...
SUN Xin, SHEN Changhong, JIANG Jinghu, CUI Jiaming
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Distant Supervision Relation Extraction Based on Focal Loss and Residual Network [PDF]
Jisuanji gongcheng, 2019 Distant supervision relation extraction based on Convolutional Neural Network(CNN) can extract only single feature,and the standard cross-entropy loss function is not sufficient in balancing the ratio of positive samples and negative samples in datasets ...
CAI Qiang, LI Jing, HAO Jiayun
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Improving Distantly-Supervised Relation Extraction Through BERT-Based Label and Instance Embeddings
IEEE Access, 2021 Distantly-supervised relation extraction (RE) is an effective method to scale RE to large corpora but suffers from noisy labels. Existing approaches try to alleviate noise through multi-instance learning and by providing additional information but manage
Despina Christou, Grigorios Tsoumakas
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