, World Intellectual Property Organization: World intellectual property indicators, 2017.

, The rise of the fractional author? -Research Trends

G. Altshuller, And Suddenly the Inventor Appeared: TRIZ, the Theory of Inventive Problem Solving, 1996.

D. Bonino, A. Ciaramella, and F. Corno, Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics, World Pat. Inf, vol.32, pp.30-38, 2010.

D. Cavallucci, The theory of inventive problem solving: current research and trends in French academic institutions, 2017.

D. Cavallucci and I. Strasbourg, From TRIZ to Inventive Design Method (IDM): towards a formalization of Inventive Practices in R&D Departments, 2012.

F. Rousselot, C. Zanni-merk, and D. Cavallucci, Towards a formal definition of contradiction in inventive design, Comput. Ind, vol.63, pp.231-242, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00707358

D. Cavallucci, F. Rousselot, and C. Zanni, Initial situation analysis through problem graph, CIRP J. Manuf. Sci. Technol, vol.2, pp.310-317, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00697097

M. A. Andrade and A. Valencia, Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families, Bioinformatics, vol.14, pp.600-607, 1998.

M. Krallinger, A. Valencia, and L. Hirschman, Linking genes to literature: text mining, information extraction, and retrieval applications for biology, Genome Biol, vol.9, p.8, 2008.

H. Müller, E. E. Kenny, and P. W. Sternberg, Textpresso: An Ontology-Based Information Retrieval and Extraction System for Biological Literature, PLOS Biol, vol.2, p.309, 2004.

A. Yakushiji, Y. Tateisi, Y. Miyao, and J. Tsujii, Event extraction from biomedical papers using a full parser, pp.408-419, 2000.

A. Gelbukh and . Link, Online service) éd: Computational linguistics and intelligent text processing: 6th international conference, 2005.

P. Lopez and L. Romary, HUMB: Automatic key term extraction from scientific articles in GROBID, vol.4
URL : https://hal.archives-ouvertes.fr/inria-00493437

M. Krapivin, A. Autaeu, and M. Marchese, Large Dataset for Keyphrases Extraction, 2009.

S. N. Kim, O. Medelyan, M. Kan, and T. Baldwin, SemEval-2010 task 5: Automatic keyphrase extraction from scientific articles

C. Bazerman, Shaping Written Knowledge : the genre and activity of the experimental article in science, 1988.

D. Pontille, Matérialité des écrits scientifiques et travail de frontières: le cas du format IMRAD, p.16

H. Gosden, Discourse functions of marked theme in scientific research articles, Engl. Specif. Purp, vol.11, pp.207-224, 1992.

P. Dzung and P. , Research article abstracts in applied linguistics and educational technology: a study of linguistic realizations of rhetorical structure and authorial stance. Discourse Stud, vol.10, pp.231-250, 2008.

D. Brossard, New media landscapes and the science information consumer, Proc. Natl. Acad. Sci, vol.110, pp.14096-14101, 2013.

G. Brumfiel, Supplanting the old media, 2009.

C. Puschmann, Micro)Blogging Science? Notes on Potentials and Constraints of New Forms of Scholarly Communication, pp.89-106, 2014.

J. Allgaier, S. Dunwoody, D. Brossard, Y. Lo, and H. P. Peters, Journalism and Social Media as Means of Observing the Contexts of Science, BioScience, vol.63, pp.284-287, 2013.

K. Minol, G. Spelsberg, E. Schulte, and N. Morris, Portals, blogs and co.: the role of the Internet as a medium of science communication, Biotechnol. J, vol.2, pp.1129-1140, 2007.

M. Mahrt and C. Puschmann, Science blogging: an exploratory study of motives, styles, and audience reactions, p.17

D. Brossard and D. A. Scheufele, Science, New Media, and the Public, vol.339, pp.40-41, 2013.

, Your source for the latest research news

, Science News for Students | News

, Accounts of Chemical Research

, Annual Review of Condensed Matter Physics | Home

, FiftForce: Sumnotes -Summarize PDF Annotations

P. Lopez, grobid: A machine learning software for extracting information from scholarly documents, 2018.

E. Frank, M. A. Hall, I. H. Witten, and C. J. Pal, The WEKA Workbench. Online Appendix for « Data Mining: Practical Machine Learning Tools and Techniques, 2016.