Bootstrapping Biomedical Ontologies for Scientific Text using NELL
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Summary
An open information extraction system for biomedical text based on NELL (the Never-Ending Language Learner), with significant improvements over NELL's original bootstrapping algorithm on two types of tasks: learning terms from biomedical categories, and named-entity recognition for biomedical entities using a learned lexicon.
- Type
- article
- Published
- 2012-06-08
- Cited by
- 26
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W33042637
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2493136
Keywords
Bootstrapping (finance), Computer science, Ontology, Artificial intelligence, Lexicon
References
- BioFrameNet: A Domain-Specific FrameNet Extension with Links to Biomedical Ontologies
- Data Mining Meets Collocations Discovery
- Inquiries into words, constraints and contexts
- Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping
- Phrasal Queries with LingPipe and Lucene: Ad Hoc Genomics Text Retrieval
- Toward an Architecture for Never-Ending Language Learning
- Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
- Lexical acquisition: Exploiting on-line resources to build a lexicon.
- An ontology for cell types
- Character-level Analysis of Semi-Structured Documents for Set Expansion
- Coupling Semi-Supervised Learning of Categories and Relations
- ChEBI: a database and ontology for chemical entities of biological interest
- Database resources of the National Center for Biotechnology Information: update
- Helping editors choose better seed sets for entity set expansion
- Gene Ontology: tool for the unification of biology
- Web-Scale Distributional Similarity and Entity Set Expansion
- Gene name identification and normalization using a model organism database
- Database resources of the National Center for Biotechnology
- GAPSCORE: finding gene and protein names one word at a time
- The Sequence Ontology: a tool for the unification of genome annotations
Cited by
- Unsupervised Medical Entity Recognition and Linking in Chinese Online Medical Text
- KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences
- KnowLife: A knowledge graph for health and life sciences
- Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists
- DARPA's Big Mechanism program
- Distant IE by Bootstrapping Using Lists and Document Structure
- Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
- Bio-Resource Exchange: Study of Prevalence of Antibody Donation and Development of a Web Portal to Facilitate it
- Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases
- A Biomedical Information Extraction Primer for NLP Researchers
- Contextualized Semantic Maps for Retrieval and Summarization of Biomedical Literature
- IDRA: An ontology driven Cognitive Computing System
- Antibody Exchange: Information extraction of biological antibody donation and a web-portal to find donors and seekers
- OC-2-KB: A software pipeline to build an evidence-based obesity and cancer knowledge base
- Biomedical knowledge base construction from text and its applications in knowledge-based systems
- Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
- OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system
- Open Information Extraction with Meta-pattern Discovery in Biomedical Literature
- Joint Lifelong Topic Model and Manifold Ranking for Document Summarization
- Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora
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