Performance of Semi-Supervised vs. Supervised Learning on SemEval-2018

A 5.5 KB Excel file uploaded by Weiguang Dong on April 27, 2026. The dataset likely contains performance metrics comparing semi-supervised and supervised learning methods on the SemEval-2018 benchmark. The specific evaluation tasks, metrics, and model results are not detailed in the available metadata.

Use Cases

• Benchmarking semi-supervised learning algorithms based on the SemEval-2018 tasks mentioned in the description
• Comparing supervised learning performance against semi-supervised approaches based on the described evaluation
• Analyzing trends in model performance across different NLP tasks implied by the SemEval benchmark

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset.
• License is clearly defined as CC-BY-4.0, permitting broad reuse with attribution.
• Last update timestamp is provided as 2026-04-27 17:22:30.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Weiguang Dong

Collection Method

Likely results from computational experiments, but the specific collection method is not detailed.

Time Range

Related to the SemEval-2018 benchmark timeframe.

Freshness

Last updated 2026-04 27 17:22:30; freshness should be verified.

Geography

null