Surface pattern-enhanced relation extraction with global constraints
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DOI: 10.1007/s10115-020-01502-y
Abstract: Relation extraction is one of the most important tasks in information extraction. The traditional works either use sentences or surface patterns (i.e., the shortest dependency paths of sentences) to build extraction models. Intuitively, the integration… read more here.
Keywords: relation extraction; extraction; extraction models; surface pattern ... See more keywords
Piecewise convolutional neural networks with position attention and similar bag attention for distant supervision relation extraction
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DOI: 10.1007/s10489-021-02632-8
Abstract: In relation to extraction tasks, distant supervision is a very effective method, which can automatically generate training data via aligning KBs and texts, thereby solving the problem of manually labeling data. However, distant supervision inevitably… read more here.
Keywords: attention; relation extraction; distant supervision;
Associative attention networks for temporal relation extraction from electronic health records
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DOI: 10.1016/j.jbi.2019.103309
Abstract: Temporal relations are crucial in constructing a timeline over the course of clinical care, which can help medical practitioners and researchers track the progression of diseases, treatments and adverse reactions over time. Due to the… read more here.
Keywords: relation extraction; attention; temporal relation; associative attention ... See more keywords
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions
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DOI: 10.1016/j.jbi.2021.103834
Abstract: Medicine instructions usually contain rich medical relations, and extracting them is very helpful for many downstream tasks such as medicine knowledge graph construction and medicine side-effect prediction. Existing relation extraction (RE) methods usually predict relations… read more here.
Keywords: medicine; knowledge; medicine instructions; chinese medicine ... See more keywords
Distant supervised relation extraction with position feature attention and selective bag attention
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DOI: 10.1016/j.neucom.2021.04.127
Abstract: Abstract Distant supervision greatly reduces manual consumption by automatically labeling data. The relation extraction methods under distant supervision divide sentences with the same entity pair into a bag, and perform training and testing on these… read more here.
Keywords: bag; relation extraction; attention; position ... See more keywords
Utilizing graph neural networks to improving dialogue-based relation extraction
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DOI: 10.1016/j.neucom.2021.05.082
Abstract: Abstract Relation extraction has been an active research interest in the field of Natural Language Processing (NLP). The past works primarily focused on a corpus of formal text which is inherently non-dialogic. Recently, the dialogue-based… read more here.
Keywords: dialogue based; relation extraction; based relation; relation ... See more keywords
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison
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DOI: 10.1093/bib/bbac342
Abstract: The rapid development of biomedicine has produced a large number of biomedical written materials. These unstructured text data create serious challenges for biomedical researchers to find information. Biomedical named entity recognition (BioNER) and biomedical relation… read more here.
Keywords: bioner; entity recognition; relation extraction; bioner biore ... See more keywords
K-RET: Knowledgeable Biomedical Relation Extraction System.
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DOI: 10.1093/bioinformatics/btad174
Abstract: MOTIVATION Relation Extraction (RE) is a crucial process to deal with the amount of text published daily, for example, to find missing associations in a database. RE is a text mining task for which the… read more here.
Keywords: relation extraction; knowledgeable biomedical; biomedical relation; extraction system ... See more keywords
Reinforcement Learning for Distantly Supervised Relation Extraction
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DOI: 10.1109/access.2019.2930340
Abstract: Relation extraction is a task of identifying semantic relations between entity pairs from plain text, which can benefit a lot of AI applications such as knowledge base construction and answer questioning. The distant supervision strategy… read more here.
Keywords: label; reinforcement learning; distantly supervised; relation extraction ... See more keywords
Relation Extraction for Chinese Clinical Records Using Multi-View Graph Learning
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DOI: 10.1109/access.2020.3037086
Abstract: Relation extraction is a necessary step in obtaining information from clinical medical records. In the medical domain, there have been several studies on relation extraction in modern medicine clinical notes written in English. However, very… read more here.
Keywords: medicine; chinese clinical; clinical records; relation extraction ... See more keywords
Chinese Relation Extraction Using Extend Softword
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DOI: 10.1109/access.2021.3102225
Abstract: In recent years, many scholars have chosen to use word lexicons to incorporate word information into a model based on character input to improve the performance of Chinese relation extraction (RE). For example, Li et… read more here.
Keywords: chinese relation; performance; model; word ... See more keywords