Results 41 to 50 of about 292 (213)

Distant supervision of relation extraction in sparse data [PDF]

open access: yesIntelligent 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
openaire   +1 more source

Bootstrapping Text Anonymization Models with Distant Supervision

open access: yesCoRR, 2022
We propose a novel method to bootstrap text anonymization models based on distant supervision. Instead of requiring manually labeled training data, the approach relies on a knowledge graph expressing the background information assumed to be publicly available about various individuals.
Anthi Papadopoulou   +3 more
openaire   +3 more sources

Named-Entity Recognition Using Automatic Construction of Training Data From Social Media Messaging Apps

open access: yesIEEE 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
doaj   +1 more source

Extracting microRNA-gene relations from biomedical literature using distant supervision.

open access: yesPLoS 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
doaj   +1 more source

BioRel: towards large-scale biomedical relation extraction

open access: yesBMC 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
doaj   +1 more source

Agricultural Named Entity Recognition Based on Semantic Aggregation and Model Distillation

open access: yes智慧农业, 2021
With the development of smart agriculture, automatic question and answer (Q&A) of agricultural knowledge is needed to improve the efficiency of agricultural information acquisition.
LI Liangde   +4 more
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Adversarial Learning for Distant Supervised Relation Extraction [PDF]

open access: yesComputers, Materials & Continua, 2018
Recently, many researchers have concentrated on using neural networks to learn features for Distant Supervised Relation Extraction (DSRE). These approaches generally use a softmax classifier with cross-entropy loss, which inevitably brings the noise of artificial class NA into classification process.
Zeng, Daojian   +4 more
openaire   +1 more source

Calpain small subunit homodimerization is robust and calcium‐independent

open access: yesFEBS Letters, EarlyView.
Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy   +4 more
wiley   +1 more source

Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention

open access: yesIEEE Access, 2019
The task of relation extraction is classifying the relations between two entities in a sentence. Distant supervision relation extraction can automatically align entities in texts based on Knowledge Base without labeled training data.
Yuan Sun   +4 more
doaj   +1 more source

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