View Proposal
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Proposer
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Gavin Abercrombie
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Title
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Semantic Evaluation challenges
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Goal
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Take on one of the 2027 SEMEVAL NLP or NLG shared tasks
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Description
- SemEval is a series of international natural language processing (NLP) research workshops whose mission is to advance the current state of the art in semantic analysis and to help create high-quality annotated datasets in a range of increasingly challenging problems in natural language semantics. Each year's workshop features a collection of shared tasks in which computational semantic analysis systems designed by different teams are presented and compared.
In 2026, there were 13 different tasks covering varying aspects of NLP and NLG. The 2027 tasks are currently being chosen by the SEMEVAL Committee. Students can choose which task they would like to undertake.
- 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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Moderate
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Ethical Approval
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Full
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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, nlg
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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
Master of Science in Human Robot Interaction
Master of Science in Robotics
Master of Science in Software Engineering