Application of named entity recognition on tweets during earthquake disaster: a deep learning-based approach

N Eligüzel, C Çetinkaya, T Dereli - Soft Computing, 2022 - Springer
Twitter is an intensely utilized platform for disaster events and emergencies. Therefore,
Twitter is an important resource for providing the essential information. Named entity …

TR discover: A natural language interface for querying and analyzing interlinked datasets

D Song, F Schilder, C Smiley, C Brew, T Zielund… - The Semantic Web …, 2015 - Springer
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 …

[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 …

Evolutionary feature weighting to improve the performance of multi-label lazy algorithms

O Reyes, C Morell, S Ventura - Integrated Computer-Aided …, 2014 - content.iospress.com
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 …

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 …

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 …

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 …

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 …

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 …

THE S2-ENSEMBLE FUSION ALGORITHM

B Baruque, E Corchado, H Yin - International Journal of Neural …, 2011 - World Scientific
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 …