Pages that link to "Q30811199"
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The following pages link to Evaluation of text data mining for database curation: lessons learned from the KDD Challenge Cup. (Q30811199):
Displaying 42 items.
- Overview of BioCreAtIvE: critical assessment of information extraction for biology (Q21093643) (← links)
- Text-mining and information-retrieval services for molecular biology (Q21184158) (← links)
- Building a protein name dictionary from full text: a machine learning term extraction approach (Q24522601) (← links)
- Biomedical language processing: what's beyond PubMed? (Q24670193) (← links)
- Content-rich biological network constructed by mining PubMed abstracts (Q24794279) (← links)
- Facts from text--is text mining ready to deliver? (Q24804683) (← links)
- Evaluation of BioCreAtIvE assessment of task 2 (Q28256990) (← links)
- BioCreAtIvE task 1A: gene mention finding evaluation (Q28256999) (← links)
- Enhancing navigation in biomedical databases by community voting and database-driven text classification (Q28750347) (← links)
- Full text and figure display improves bioscience literature search (Q28752580) (← links)
- Literature mining for the biologist: from information retrieval to biological discovery (Q30002370) (← links)
- Community challenges in biomedical text mining over 10 years: success, failure and the future. (Q30374327) (← links)
- Enriching a biomedical event corpus with meta-knowledge annotation (Q31033181) (← links)
- Enhancing text categorization with semantic-enriched representation and training data augmentation (Q31046443) (← links)
- Curation of complex, context-dependent immunological data (Q31048582) (← links)
- Integrating epitope data into the emerging web of biomedical knowledge resources (Q31111568) (← links)
- A sentence sliding window approach to extract protein annotations from biomedical articles (Q33217257) (← links)
- Finding genomic ontology terms in text using evidence content (Q33217259) (← links)
- Identifying biological concepts from a protein-related corpus with a probabilistic topic model (Q33233422) (← links)
- The strength of co-authorship in gene name disambiguation (Q33317085) (← links)
- Natural language processing in aid of FlyBase curators (Q33328122) (← links)
- Literature mining on pharmacokinetics numerical data: a feasibility study (Q33426634) (← links)
- Caption-based topical descriptors for microscopic images as published in academic papers (Q33659433) (← links)
- Towards classifying species in systems biology papers using text mining (Q33812085) (← links)
- Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning (Q33843158) (← links)
- A statistical approach to scanning the biomedical literature for pharmacogenetics knowledge (Q33915248) (← links)
- Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion (Q34034743) (← links)
- Automatic categorization of diverse experimental information in the bioscience literature (Q34142096) (← links)
- Enhancing access to the Bibliome: the TREC 2004 Genomics Track. (Q34545389) (← links)
- The TREC 2004 genomics track categorization task: classifying full text biomedical documents. (Q34545395) (← links)
- Recent Progress in Automatically Extracting Information from the Pharmacogenomic Literature (Q34560509) (← links)
- Mining experimental evidence of molecular function claims from the literature. (Q34582410) (← links)
- Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge (Q34844839) (← links)
- Literature retrieval and mining in bioinformatics: state of the art and challenges (Q36072104) (← links)
- A Review of Recent Advancement in Integrating Omics Data with Literature Mining towards Biomedical Discoveries (Q36319180) (← links)
- Frontiers of biomedical text mining: current progress (Q36837641) (← links)
- Multi-dimensional classification of biomedical text: toward automated, practical provision of high-utility text to diverse users (Q36864819) (← links)
- Are figure legends sufficient? Evaluating the contribution of associated text to biomedical figure comprehension (Q37074155) (← links)
- Automating curation using a natural language processing pipeline (Q43093612) (← links)
- A global network of biomedical relationships derived from text. (Q52681328) (← links)
- Identification of Chemical Entities in Patent Documents (Q57745359) (← links)
- Configurable web-services for biomedical document annotation (Q90712308) (← links)