Papers with real-world end-user NLP applications

1 papers
Rethinking Document-Level Relation Extraction: A Reality Check (2023.findings-acl)

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Challenge: Recent efforts push up performance boundaries of document-level relation extraction (DocRE) but these efforts are not promising.
Approach: They construct four types of entity mention attacks to examine model robustness . they also have a close check on model usability in a more realistic setting .
Outcome: The proposed model is based on a strong or untenable assumption in common . the model is robust under four types of mention attacks and usable in a realistic setting .

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