Introduces a weakly-supervised framework partitioning CTA transcript parsing into sequence labeling and text span-pair relation extraction using distant supervision from protocols and neighbor sentences for long-range context.
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cs.CL 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
Four binarization strategies turn continuous sentence embeddings into binary form, cutting storage by over 98% with only about 2% performance drop on downstream tasks.
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Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
Introduces a weakly-supervised framework partitioning CTA transcript parsing into sequence labeling and text span-pair relation extraction using distant supervision from protocols and neighbor sentences for long-range context.
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Learning Compressed Sentence Representations for On-Device Text Processing
Four binarization strategies turn continuous sentence embeddings into binary form, cutting storage by over 98% with only about 2% performance drop on downstream tasks.