Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study
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Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study
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Promo slide for a paper presented at the Ninth International Workshop on Health Text Mining and Information Analysis @ EMNLP 2018 Paper: https://aclanthology.coli.uni-saarland.de/papers/W18-5609/w18-5609
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Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study
- 1. Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study Drahomira Herrmannova, Steven Young, Robert Patton, Chris Stahl, Nicole Kleinstreuer, Mary Wolfe Study descriptors Female weanling rats Six rats per group Four treatment groups ✓ ✗ VS. 1. Goal: extraction of study descriptors from toxicology papers 2. Problem: lack of detailed annotations for training 3. Present study: Can we use semantic similarity to identify relevant text segments? Natural-language description of sought- after information Animal model: OVX adult rats (OVX 6-8 weeks), 14 day post-surgery recovery. OVX adult mouse, … Text segments from target document Segment 1 similarity: 0.5478 Segment 2 similarity: 0.3887 Segment 3 similarity: … Segment 1: Pre-pubertal (day 18 of life) female mice were … Segment 2: The dosages of CTX used were based on previous … Segment 3: …