Papers with real NLP tasks

2 papers
MIC: A Multi-task Interactive Curation Tool (2022.emnlp-demos)

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Challenge: MIC is a human-machine collaborative curation tool for multiple NLP tasks.
Approach: They propose to use a multi-task interactive curation tool for multiple NLP tasks to help solve pain points in real NLP.
Outcome: The proposed tool supports multiple projects with multiple users and allows for collaborative annotations.
The NLP Task Effectiveness of Long-Range Transformers (2023.eacl-main)

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Challenge: Existing benchmarks on long-range attention models have not been sufficient to develop efficient Transformers and their practical application on complex NLP tasks.
Approach: They propose to benchmark 7 Transformer variants on 5 difficult NLP tasks and 7 datasets to examine their capacity for long-range attention.
Outcome: The proposed models have advantages on content selection and query-guided decoding, but they come with previously unrecognized drawbacks such as insufficient attention to distant tokens and accumulated approximation error.

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