Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Validation01:15

Data Validation

191
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
191
Censoring Survival Data01:09

Censoring Survival Data

151
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
151
Data Reporting and Recording01:24

Data Reporting and Recording

4.8K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.8K
Data Collection by Survey01:07

Data Collection by Survey

6.5K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
6.5K
Convenience Sampling Method00:55

Convenience Sampling Method

9.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
9.0K
Data Collection I01:30

Data Collection I

6.3K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nature-based and geo-engineering climate mitigation technologies: Public acceptance and security prospects.

iScience·2025
Same author

From Clicks to Bets: How Social Media Engagement Influences Gambling Severity-Cross-Sectional Research.

Inquiry : a journal of medical care organization, provision and financing·2025
Same author

Undermining support for COVID-19 public health policies: an analysis of the impact of subversive conspiracy narratives on Czech General Practitioners.

European journal of public health·2023
Same author

On Gerasimov's plastic facial reconstruction technique: new insights to facilitate repeatability.

Journal of forensic sciences·2011
Same author

[Goethe's skull and skeleton].

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur·2003

Related Experiment Video

Updated: Jul 25, 2025

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities
06:57

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities

Published on: February 6, 2019

6.1K

CsFEVER and CTKFacts: acquiring Czech data for fact verification.

Herbert Ullrich1, Jan Drchal1, Martin Rýpar1

  • 1Artificial Intelligence Center, Faculty of Electrical Engineering, Czech Technical University in Prague, Charles Square 13, 120 00 Prague 2, Czech Republic.

Language Resources and Evaluation
|June 26, 2023
PubMed
Summary

This study introduces methods for acquiring Czech data for automated fact-checking, creating datasets like CsFEVER-NLI and CTKFactsNLI. These resources aid in classifying textual claim veracity and Natural Language Inference tasks.

Keywords:
Automated fact-checkingCzechDocument retrievalFEVERNatural language inference

More Related Videos

Rapid Isolation of Single Cells from Mouse and Human Teeth
06:09

Rapid Isolation of Single Cells from Mouse and Human Teeth

Published on: October 28, 2021

3.6K
Simple Detection of Primary Cilia by Immunofluorescence
08:07

Simple Detection of Primary Cilia by Immunofluorescence

Published on: May 15, 2020

11.0K

Related Experiment Videos

Last Updated: Jul 25, 2025

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities
06:57

Continuous Noninvasive Measuring of Crayfish Cardiac and Behavioral Activities

Published on: February 6, 2019

6.1K
Rapid Isolation of Single Cells from Mouse and Human Teeth
06:09

Rapid Isolation of Single Cells from Mouse and Human Teeth

Published on: October 28, 2021

3.6K
Simple Detection of Primary Cilia by Immunofluorescence
08:07

Simple Detection of Primary Cilia by Immunofluorescence

Published on: May 15, 2020

11.0K

Area of Science:

  • Natural Language Processing
  • Computational Linguistics
  • Information Retrieval

Background:

  • Automated fact-checking requires labeled datasets for training veracity classification models.
  • Existing datasets are often language-specific, necessitating the creation of resources for underrepresented languages like Czech.

Purpose of the Study:

  • To develop and evaluate methods for acquiring Czech data for automated fact-checking.
  • To create novel Czech datasets for fact-checking and Natural Language Inference (NLI).
  • To analyze datasets for potential biases and provide baseline models.

Main Methods:

  • Hybrid approach of machine translation and document alignment to create a Czech version of the FEVER dataset (CsFEVER-NLI).
  • Annotation of a new dataset (CTKFacts) using Czech News Agency articles, followed by cleaning and error analysis.
  • Development of standalone NLI datasets (CsFEVER-NLI, CTKFactsNLI) from the acquired data.

Main Results:

  • Publication of CsFEVER-NLI (127k translations) and CTKFactsNLI datasets.
  • Analysis of datasets for spurious cues and annotator errors, with a typology of common mistakes.
  • Provision of baseline models for fact-checking pipeline stages.

Conclusions:

  • The developed methods and datasets facilitate automated fact-checking and NLI research in Czech.
  • The study highlights the importance of dataset quality and bias analysis for robust fact-checking models.
  • Published resources and tools aim to advance cross-lingual fact-checking capabilities.