SemEval-2013 Task 13: Word Sense Induction Data for Graded and Non-Graded Senses

SemEval-2013 Task 13 data originally provided by organizers David Jurgens and Sapienza University of Rome. The dataset is designed for the Word Sense Induction for Graded and Non-Graded Senses task. The specific number of rows, columns, and file size are unknown from the provided metadata.

Use Cases

• Training word sense induction models based on the graded and non-graded sense distinctions described in the task.
• Benchmarking semantic analysis algorithms on the SemEval-2013 Task 13 framework.
• Studying linguistic phenomena related to graded word senses using the provided test data.

Strengths

• Data originates from the authoritative SemEval-2013 competition, a standard benchmark in NLP.
• Task focuses on a specific and challenging NLP problem: word sense induction for graded senses.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

David Jurgens, Sapienza University of Rome, SemEval-2013 Task 13 organizers

Collection Method

Likely created for the SemEval-2013 competition task.