UConcordia: CLaC Negation Focus Detection at *Sem 2012
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NegationSimilar Papers 제목 키워드 기반
Improving negation detection with negation-focused pre-training
Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text. Recent works show that state-of-t…
Data AugmentationDiversityNegationNegation DetectionImproving negation detection with negation-focused pre-training
Negation is a common linguistic feature that is crucial in many language understanding tasks, yet it remains a hard problem due to diversity in its expression in different types of text. Recent work has shown that state-…
Data AugmentationDiversityNegationNegation DetectionCLaC at SMM4H 2020: Birth Defect Mention Detection
For the detection of personal tweets, where a parent speaks of a child’s birth defect, CLaC combines ELMo word embeddings and gazetteer lists from external resources with a GCNN (for encoding dependencies), in a multi la…
Word EmbeddingsNegation Detection in Dutch Spoken Human-Computer Conversations
Proper recognition and interpretation of negation signals in text or communication is crucial for any form of full natural language understanding. It is also essential for computational approaches to natural language pro…
Natural Language UnderstandingNegationNegation DetectionTransfer LearningAnnotating the Focus of Negation in Japanese Text
This paper proposes an annotation scheme for the focus of negation in Japanese text. Negation has its scope and the focus within the scope. The scope of negation is the part of the sentence that is negated; the focus is …
Natural Language InferenceNegationOpinion MiningQuestion Answering+1