2020
EMNLP
EMNLP 2020
Information retrieval for animal disease surveillance: a pattern-based approach.
Abstract
AbstractAnimal diseases-related news articles are richin information useful for risk assessment. In this paper, we explore a method to automatically retrieve sentence-level epidemiological information. Our method is an incremental approach to create and expand patterns at both lexical and syntactic levels. Expert knowledge input are used at different steps of the approach. Distributed vector representations (word embedding) were used to expand the patterns at the lexical level, thus alleviating manual curation. We showed that expert validation was crucial to improve the precision of automatically generated patterns.
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Interdisciplinary Bridge
— Computer Science and Data Science & Analytics and Machine Learning and Natural Language Processing
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Keyword Pioneer
— epidemiological datum
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Hot Topic Early Bird
— risk assessment
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Applications > Information Extraction
Natural Language Processing > Applications > Information Retrieval
Data Science & Analytics > Applications > Disease Surveillance
Computer Science > Applications > Information Retrieval
Machine Learning > Learning Types > Representation Learning
Data Science & Analytics > Applications > Information Retrieval
Data Science & Analytics > Applications > Risk Management