Cortext platform

@inproceedings{abacha2017named,

title = {Named entity recognition in functional neuroimaging literature},

author = {Asma Ben Abacha and Alba Seco G de Herrera and Ke Wang and Rodney L Long and Sameer Antani and Dina Demner-Fushman},

url = {https://ieeexplore.ieee.org/abstract/document/8218002},

doi = {10.1109/BIBM.2017.8218002},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on},

pages = {2218-2220},

organization = {IEEE},

abstract = {Human neuroimaging research aims to find mappings between brain activity and broad cognitive states. In particular, Functional Magnetic Resonance Imaging (fMRI) allows collecting information about activity in the brain in a non-invasive way. In this paper, we tackle the task of linking brain activity information from fMRI data with named entities expressed in functional neuroimaging literature. For the automatic extraction of those links, we focus on Named Entity Recognition (NER) and compare different methods to recognize relevant entities from fMRI literature. We selected 15 entity categories to describe cognitive states, anatomical areas, stimuli and responses. To cope with the lack of relevant training data, we proposed rule-based methods relying on noun-phrase detection and filtering. We also developed machine learning methods based on Conditional Random Fields (CRF) with morpho-syntactic and semantic features. We constructed a gold standard corpus to evaluate these different NER methods. A comparison of the obtained F1 scores showed that the proposed approaches significantly outperform three state-of-the-art methods in open and specific domains with a best result of 78.79% F1 score in exact span evaluation and 98.40% F1 in inexact span evaluation.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rizzo2017data,

title = {What data are available to describe cropping systems at the regional level?},

author = {Davide Rizzo and Elisa Marraccini and Giuliano Vitali and Philippe Martin},

url = {https://hal.archives-ouvertes.fr/hal-01608845},

doi = {10.5281/zenodo.6350061},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {XLVI meeting of the Italian Society for Agronomy, Milan},

pages = {12--14},

abstract = {European agriculture is undergoing a rapid evolution that challenges agronomic research to scale from field to landscape. In particular, the undergoing processes (e.g. urbanization or land abandonment) and the multiple ecosystems services provided by agricultural areas are requiring to broaden the research at the regional level. Since some decades, the European Union is promoting the collection of agricultural data to evaluate the farmers’ eligibility for subsidies and to assess the Common Agricultural Policy performances. Part of these datasets are being increasingly used beyond their administrative functions, as for the Farm Accountancy Data Network (FADN) and the Land Parcel Identification System (LPIS). Starting from a bibliometric analysis of the scientific literature using these datasets, we will discuss two examples of their application for characterizing cropland and cropping systems. Our aim is to discuss the relevance of these datasets as tools to improve the monitoring and management of agroecosystems at the regional level. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{villard2017metropolisation,

title = {Metropolisation, peripheries and funding of nano sciences & technologies production in Europe},

author = {Lionel Villard and François Perruchas and Thomas Scherngell and Michael Barber and Philippe Larédo and Jordi Molas Gallart},

url = {https://www.cortext.net/metropolisation-peripheries-and-funding-of-nano-sciences-technologies/},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

booktitle = {STI Conference},

abstract = {There are multiple on-going debates about the geographical distribution and concentration of knowledge production worldwide. Recent work done by Grossetti et al. (2015) points to a ‘deconcentration’ process of knowledge production, visible not only at country level (linked to the periodic rise of new countries in the overall scientific production landscape, a long-lasting phenomenon), but also at metropolitan level.  In a European policy context, this raises the question whether we can also identify such tendencies across the European territory, and whether this specifically applies to frontier scientific fields. 

In this demonstration, we have addressed this question for knowledge production in the field of Nano sciences & technologies (S&T), accounting for different kinds of knowledge production (scientific, technological and project-based). The attempts to characterise the dynamics of Nano S&T are not new (Noyons et al., 2003). One pre-condition for the empirical analysis of Nano S&T is its delimitation in relevant R&I datasets. Kahane and Mogoutov (2007) have developed a fully lexical approach which remained however static (considering only the whole period covered). This has meanwhile been advanced to a ‘dynamic‘ approach (Kahane et al., 2014) where the lexical delineation evolves each year according to the field specific vocabulary produced.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}