Unlock the Power of Citation Intent Classification: A Guide to CEC's Cutting-Edge Tool

Are you drowning in academic papers and struggling to understand the purpose of each citation? The Citation Extractor and Classifier (CEC) is here to revolutionize your research. This powerful tool automatically annotates in-text citations, classifying their intent based on the CiTO ontology. Read on to discover how CEC can streamline your workflow and elevate your research.

What is Citation Intent Classification and Why Does it Matter?

Citation intent classification identifies the reason why an author cites a particular source. Instead of simply knowing that a source is cited, you can understand if it's:

• UsesMethodIn: The citing paper employs a methodology described in the cited paper.
• ObtainsBackgroundFrom: The citing paper draws background information from the cited paper.
• UseConclusionsFrom: The citing paper utilizes conclusions presented in the cited paper.
• CitesForInformation: The citing paper cites the source for general information.

Understanding citation intent streamlines literature reviews, reveals research trends, and helps you quickly identify the most relevant sources.

Key Features of CEC: Your Citation Analysis Powerhouse

CEC boasts a range of features designed to maximize efficiency and accuracy of academic literature review.

• Ensemble Model: The engine is powered by a sophisticated ensemble model, combining multiple binary classifiers for robust performance.
• SciCite Benchmark: The baseline model surpasses the state-of-the-art Macro-F1 score on the SciCite dataset for citation intent classification.
• Flexible Input: Input citations as a list of tuples or a JSON file for seamless integration into your workflow. The data can be anything from raw text, to the title and the text from a given section.
• JSON Output: Download results in JSON format, making it easy to process the data.

Three Modes for Every Research Scenario

CEC offers three distinct modes to suit your specific needs:

• With Sections (WS Mode): Ideal when you have access to section titles for all sentences. This mode leverages contextual information for enhanced accuracy.
• Without Sections (WoS Mode): Perfect when section titles are unavailable or you want to focus solely on the semantic meaning of the sentence. This is essential for classifying a generic raw text.
• Mixed (M Mode): A hybrid approach that automatically adapts to datasets with a combination of sentences with and without section titles. This mode handles filtering to automatically classifiy any data.

Actionable Insights: How to Use CEC for Citation Intent Classification

Ready to supercharge your research? CEC provides actionable insights and tools for effective automatic citation analysis. Here's how to get started:

1. Choose Your Mode: Select the mode that best fits your data (With Sections, Without Sections, or Mixed).
2. Input Your Citations: Provide the sentences you want to classify, either as a list of tuples or a JSON file.
3. Analyze the Results: Review the classifications and leverage the insights to deepen your understanding of the literature.

Looking Ahead: The Future of CEC

The CEC project is constantly evolving with exciting updates on the horizon:

• Improved Threshold Definition: Enhance the precision of classifications by improving the threshold mechanism.
• API Development: Simplify integration into existing workflows through a robust API.
• Enhanced Input Support: Add support for compressed files and folders for efficient handling of large datasets.

Contribute to the Future of Citation Analysis

CEC is an open-source project, and your contributions are welcome! Whether you're a seasoned developer or a passionate researcher, there are many ways to get involved:

• Fork the Repo: Submit pull requests with bug fixes or new features.
• Open an Issue: Suggest enhancements or report issues with the tag "enhancement."
• Star the Project: Show your support and help spread the word!

Unlock the power of citation analysis with CEC. Start classifying citation intent today and transform the way you approach research! This tool will become an essential part of your academic literature review.