Results 41 to 50 of about 745,152 (307)
Comparison of different bead-beating RNA extraction strategies: An optimized method for filamentous fungi [PDF]
, 2012 Molecular studies, especially in relation to the activity of secondary metabolite gene clusters, require the ability to extract good quality RNA from fungal biomass.
Magan, Naresh +5 more
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Enhancing model generalization for relation extraction in biomedical domain
, 2022 Shanker, Vijay K.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 and easily overfit when the training ...
Su, Peng
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Research on the Chinese Named-Entity–Relation-Extraction Method for Crop Diseases Based on BERT
Agronomy, 2022 In order to integrate fragmented text data of crop disease knowledge to solve the current problems of disordered knowledge management, weak correlation and difficulty in knowledge sharing, a Chinese named-entity–relation-extraction model for crop ...
Wenhao Zhang +6 more
doaj +1 more source
, 2021 Distant supervised relation extraction which is to extract heterogeneous relations from text data without manual annotation has been widely used in decision-making tasks such as question answering or recommendation system.
Li, Xuewei +5 more
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Extracting Relations Between Sectors
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2022 The term "sector" in professional business life is a vague concept since companies tend to identify themselves as operating in multiple sectors simultaneously. This ambiguity poses problems in recommending jobs to job seekers or finding suitable candidates for open positions.
Atakan Kara 0001 +3 more
openaire +4 more sources
Application of Public Knowledge Discovery Tool (PKDE4J) to Represent Biomedical Scientific Knowledge
Frontiers in Research Metrics and Analytics, 2018 In today’s era of information explosion, extracting entities and their relations in large-scale, unstructured collections of text to better represent knowledge has emerged as a daunting challenge in biomedical text mining.
Min Song +4 more
doaj +1 more source
An Intensive Case Study on Kernel-based Relation Extraction
, 2013 Relation extraction refers to a method of efficiently detecting and identifying predefined semantic relationships within a set of entities in text documents.
최성필 +3 more
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Graph Adaptation Network with Domain-Specific Word Alignment for Cross-Domain Relation Extraction
Sensors, 2020 Cross-domain relation extraction has become an essential approach when target domain lacking labeled data. Most existing works adapted relation extraction models from the source domain to target domain through aligning sequential features, but failed to ...
Zhe Wang +5 more
doaj +1 more source
Unsupervised Open Relation Extraction [PDF]
, 2017 We explore methods to extract relations between named entities from free text in an unsupervised setting. In addition to standard feature extraction, we develop a novel method to re-weight word embeddings. We alleviate the problem of features sparsity using an individual feature reduction.
Hady ElSahar +4 more
openaire +2 more sources
A Machine Learning Filter for the Slot Filling Task
Information, 2018 Slot Filling, a subtask of Relation Extraction, represents a key aspect for building structured knowledge bases usable for semantic-based information retrieval.
Kevin Lange Di Cesare +3 more
doaj +1 more source