Playing Biology's Name Game: Identifying Protein Names in Scientific Text
By Daniel Hanisch, Juliane Fluck, Heinz-Theodor Mevissen, Ralf Zimmer. Pacific Symposium on Biocomputing, 2002
322 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c1ac4b98d7d6558716502cec842a3103887f909c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Molecular Biology
- Alfonso Valencia
- William R. Hersh
- Aaron M. Cohen
- Ralf Zimmer
- Juliane Fluck
- Robert Hoffmann
- Daniel Hanisch
- Gene Ontology Consortium
Citations in the corpus
- ProMiner: rule-based protein and gene entity recognition (2005, methodology): “The search procedure [1] works by sweeping over the abstract, processing one token at a time and keeping a set of candidate solutions for the present position.”
- Implementing the iHOP concept for navigation of biomedical literature (2005, background): “…et al., 2000; Krauthammer et al., 2000; Friedman et al., 2001; Marcotte et al., 2001; Franzen et al., 2002; Hirschman et al., 2002; Yu et al., 2002; Hanisch et al., 2003; Morgan et al., 2003; Tsuruoka and Tsujii, 2003; Mika and Rost, 2004) and novel ideas for the analysis of large-scale…”
- Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature (2004, methodology): “We have manually curated a lexicon of names because it has proved difficult in the past to automatically recognize names of biologically relevant entities (Fukuda et al. 1998; Proux et al. 1998; Rindflesch et al. 2000; Blaschke and Valencia 2002; Hanisch et al. 2003).”
- A survey of cyber security management in industrial control systems (2015, background): “Industrial control systems are highly interdependent and downtime can cause cascading effects [171].”
- Critical infrastructure protection: Requirements and challenges for the 21st century (2015, background): “[71] concrete ly identified and analyzed up to four types of relationships: physical, geographic, cy ber and logical.”
- A survey of current work in biomedical text mining (2005, background): “Hansich and de Bruijn [9, 10 ] believed that solving this problem would allow more”
- Restoration of Services in Interdependent Infrastructure Systems: A Network Flows Approach (2007, methodology): “The objective of the definitions provided by both PCCIP and Rinaldi, Peerenboom and Kelly is to aid in the discussion of policies for addressing the vulnerability of infrastructures to natural, technological and intentional humaninduced hazards[2] [14].”
- Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines (2010, background): “Furthermore, many of these infrastructures have dependencies on one-another [3].”