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Cited by 10

The DOI matches its Crossref record.

Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions

Kuhn, Tobias, Royer, Loïc, Fuchs, Norbert E., Schröder, Michael·2006·Lecture Notes in Computer Science
DOI 10.1007/11799511_7
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Overview

Integrity signals

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Crossref · 10.1007/11799511_7

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Recomputing p-values needs the paper’s full text.

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Controlled natural language can serve in the fully formalized case as a user-friendly syntax for representing scientific facts.

    “we had shown before that controlled natural language can also serve in the fully formalized case as a user-friendly syntax for representing scientific facts (Kuhn et al., 2006).”

    From Decentralized provenance-aware publishing with nanopublications (2016) · cites this paper as Kuhn et al., 2006

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 17

  1. Bernstein, A., Kaufmann, E., Kaiser, C.: Querying the Semantic Web with Ginseng: A Guided Input Natural Language Search Engine. In: Department of Informatics, University of Zurich (2005) · DOI
  2. Booch, G., Rumbaugh, J., Jacobson, I.: The Unified Modeling Language User Guide, 1st edn. Addison-Wesley, Reading (1998)
  3. Cohen, A.M., Hersh, W.R.: A survey of current work in biomedical text mining. Briefings in Bioinformatics 6(1), 57–71 (2004) · DOI
  4. Daraselia, N., Yuryev, A., Egorov, S., Novichkova, S., Nikitin, A., Mazo, I.: Extracting human protein interactions from MEDLINE using a full-sentence parser. Bioinformatics 20(5), 604–611 (2004) · DOI
  5. Doms, A., Schroeder, M.: GoPubMed: exploring PubMed with the Gene Ontology. In Nucleic Acids Research 33, W783–W786 (2005) · DOI
  6. Fuchs, N.E., Kaljurand, K., Schneider, G.: Attempto Controlled English Meets the Challenges of Knowledge Representation, Reasoning, Interoperability and User Interfaces. In: The 19th International FLAIRS Conference (FLAIRS 2006) (2006)
  7. Fuchs, N.E., Schwertel, U., Schwitter, R.: Attempto Controlled English – Not Just Another Logic Specification Language. In: Flener, P. (ed.) LOPSTR 1998. LNCS, vol. 1559, p. 1. Springer, Heidelberg (1999), http://www.ifi.unizh.ch/attempto/publications/papers/LOPSTR98.pdf · DOI
  8. Fitting, M.: First-Order Logic and Automated Theorem Proving, 2nd edn. Springer, New York (1996) · DOI
  9. Giot, L., Bader, J.S., Brouwer, C., Chaudhuri, A., et al.: A Protein Interaction Map of Drosophila melanogaster. Science 302(5651), 1727–1736 (2003) · DOI · Paper page
  10. Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human-Computer Studies 43(5-6), 907–928 (1995) · DOI · Paper page
  11. Hirschman, L., Park, J.C., Tsujii, J., Wong, L., Wu, C.H.: Accomplishments and challenges in literature data mining for biology. In Bioinformatics Review 18(12), 1553–1561 (2002) · DOI
  12. Nardi, D., Brachman, R.J.: An Introduction to Description Logics. In: The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, Cambridge (2003)
  13. Schwikowski, B., Uetz, P., Fields, S.: A network of protein-protein interactions in yeast. In Nature Biotechnology 18, 1257–1261 (2000) · DOI
  14. Schwitter, R., Ljungberg, A., Hood, D.: ECOLE: A Look-ahead Editor for a Controlled Language. In: Proceedings of EAMT-CLAW 2003, Controlled Language Translation, pp. 141–150. Dublin City University (2003)
  15. Thompson, C.W., Pazandak, P., Tennant, H.R.: Talk to Your Semantic Web. In IEEE Internet Computing 9(6), 75–79 (2005) · DOI
  16. Uschold, M., Gruninger, M.: Ontologies: Principles, Methods and Applications. Knowledge Engineering Review 11(2) (1996) · DOI
  17. Yeh, A., Morgan, A., Colosimo, M., Hirschman, L.: BioCreAtIvE Task 1A: gene mention finding evaluation. BMC Bioinformatics 6 (2005) · DOI

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Metadata

Authors
Kuhn, T., Royer, L., Fuchs, N. E., & Schröder, M.
Venue
Lecture Notes in Computer Science
Publisher
Springer Berlin Heidelberg
Published
2006
Pages
66-81
ISSN
  • 0302-9743
  • 1611-3349
DOI
10.1007/11799511_7
Cited by
10
References
0

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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