View Proposal
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Proposer
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Gavin Abercrombie
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Title
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Semantic Change Across Multiple Time Periods
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Goal
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Tackle the SEMEVAL 2027 shared task on semantic change
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Description
- Lexical Semantic Change Detection (LSCD) studies how word meanings change over time. Existing benchmarks have mostly focused on comparing two time periods, but semantic change is often gradual and unfolds across decades. This task extends the evaluation setting from two time periods to ten, enabling the modeling of individual word senses and their dynamics over time.
The task is based on a novel, multilingual benchmark covering Swedish, English, Italian, Spanish, Dutch, and Russian, with manually annotated data across ten time periods and approximately 126,000 human annotations.
- Resources
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Background
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Url
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External Link
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Difficulty Level
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High
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Ethical Approval
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None
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Number Of Students
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1
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Supervisor
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Gavin Abercrombie
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Keywords
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nlp, computational linguistics
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Degrees
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Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computing (2 Years)
Master of Science in Data Science