Application of named entity recognition on tweets during earthquake disaster: a deep learning-based approach
Twitter is an intensely utilized platform for disaster events and emergencies. Therefore,
Twitter is an important resource for providing the essential information. Named entity …
Twitter is an important resource for providing the essential information. Named entity …
TR discover: A natural language interface for querying and analyzing interlinked datasets
Currently, the dominant technology for providing non-technical users with access to Linked
Data is keyword-based search. This is problematic because keywords are often inadequate …
Data is keyword-based search. This is problematic because keywords are often inadequate …
[HTML][HTML] Word embeddings and external resources for answer processing in biomedical factoid question answering
D Dimitriadis, G Tsoumakas - Journal of biomedical informatics, 2019 - Elsevier
Biomedical question answering (QA) is a challenging task that has not been yet successfully
solved, according to results on international benchmarks, such as BioASQ. Recent progress …
solved, according to results on international benchmarks, such as BioASQ. Recent progress …
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms
In the last decade several modern applications where the examples belong to more than
one label at a time have attracted the attention of research into machine learning. Several …
one label at a time have attracted the attention of research into machine learning. Several …
A hybrid linear text segmentation algorithm using hierarchical agglomerative clustering and discrete particle swarm optimization
JW Wu, JCR Tseng, WN Tsai - Integrated Computer-Aided …, 2014 - content.iospress.com
Linear text segmentation plays an important role in many natural language processing tasks.
Many algorithms have been proposed and shown to improve the performance of linear text …
Many algorithms have been proposed and shown to improve the performance of linear text …
Automatic image search based on improved feature descriptors and decision tree
J Hou, Z Chen, X Qin, D Zhang - Integrated Computer-Aided …, 2011 - content.iospress.com
There has been a growing interest in implementing image search engine at the semantic
level. However, most existing practical systems including popular commercial image search …
level. However, most existing practical systems including popular commercial image search …
A graph-mining algorithm for automatic detection and counting of embryonic stem cells in fluorescence microscopy images
GM Faustino, M Gattass… - Integrated …, 2011 - content.iospress.com
Many cell-based research studies require the counting of cells in order to understand and
validate experiments through statistical analyses. Although progress in imaging technology …
validate experiments through statistical analyses. Although progress in imaging technology …
An efficient fingerprint image compression technique based on wave atoms decomposition and multistage vector quantization
AA Mohammed, R Minhas, QM Wu… - Integrated Computer …, 2010 - content.iospress.com
Modern fingerprint image compression and reconstruction standards used by the US
Federal Bureau of Investigation (FBI) are based upon the popular biorthogonal 9-7 discrete …
Federal Bureau of Investigation (FBI) are based upon the popular biorthogonal 9-7 discrete …
A study of the application of ontology to an FAQ automatic classification system
RS Shaw, CF Tsao, PW Wu - Expert Systems with Applications, 2012 - Elsevier
Many enterprises collect Frequently Asked Questions (FAQs) from their customer service
departments or technical support centers and compile the questions and responses in a …
departments or technical support centers and compile the questions and responses in a …
THE S2-ENSEMBLE FUSION ALGORITHM
This paper presents a novel model for performing classification and visualization of high-
dimensional data by means of combining two enhancing techniques. The first is a semi …
dimensional data by means of combining two enhancing techniques. The first is a semi …