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4 results for “document representation”
Polidoc.net CODEBOOK: National and Regional Manifestos and other Political Documents Collected for the Research Projects "Representation in Europe: Congruence between Preferences of Elites and Voters" (REPCONG) and "The Impact of EU Cohesion Policy on European Identification" (COHESIFY)
<p>The Political Documents Archive http://www.polidoc.net/ contains election manifestos, coalition agreements, government declarations and various other documents of political actors from developed democracies. Currently, the archive builds on a stock of more than 3000 political documents from 20 European countries. The aim of the repository is to provide political texts in order to facilitate scholarly research in different areas of comparative politics such as party competition, coalition politics, legislative decision-making or electoral behavior.</p> <p>National electoral manifestos have been collected in the course of the REPCONG project ("Representation in Europe: Policy Congruence between Citizens and Elites"), and the archive includes party manifestos for regional elections in several European democracies. Because the process of European integration resulted in a strengthening of regions in EU member states and in countries that want to join the European Union, the relevance of the regional level for political decision-making has increased during the last decades. Therefore, also the policy profiles of regional parties are required to get a full picture of democratic responsiveness in European states across all levels of the political system. The collection of regional manifestos was supported by the COHESIFY project (www.cohesify.eu), funded under the Horizon 2020 Framework Programme for Research and Innovation. The aim of COHESIFY is to study whether the European Structural and Investment Funds affect people’s support for and identification with the European project.</p> <p>The archive is freely accessible (after a simple registration) and meant to foster rigorous research in these areas by enabling scholars to produce valid and reliable findings from empirical studies of textual data rather than unnecessarily struggling to obtain and process texts.</p>
PARADE: Passage Representation Aggregation for Document Reranking
<p>This submission includes all pretrained models on MSMARCO, and run files on the Robust04/GOV2 dataset for the paper "PARADE: Passage Representation Aggregation for Document Reranking". Please follow the instructions in the <a href="https://github.com/canjiali/PARADE">PARADE repo</a> to reproduce the results.</p> <p> </p>
Figure 3. The graphic representation of the frequencies of the specifications for the technological dimension in curricular documents--Educational Research on the Technological Dimension of Private Life
<p>There are also major differences between schooling levels (Figure 3). In the<br> gymnasium educational system (12) and high school educational system (15) there are more<br> themes concerned with the technological dimension at the level of school curricula, as<br> compared to the primary educational system (2). Also, in alternative textbooks, these themes<br> are predominant in the high school educational system (56) and the gymnasium educational<br> system (27), as compared to the primary educational system (1).</p>
Two document-concept representations of the biomedical literature
<p>These two datasets represent the biomedical literature (Medline abstracts and PubMedCentral articles) in the "document-concept matrix" format produced by <a href="https://github.com/erwanm/tdc-tools">TDC Tools</a>. These datasets can be used in downstream IR applications such as Literature-Based Discovery.</p> <p>Each of the two datasets corresponds to a specific data extraction method, see details <a href="https://erwanm.github.io/tdc-tools/input-data-format/">here</a> and in the paper linked below.</p> <ul> <li>Paper: <em>pending </em></li> <li>Code: <a href="https://github.com/erwanm/tdc-tools">https://github.com/erwanm/tdc-tools</a> <ul> <li>Documentation:<a href="https://erwanm.github.io/tdc-tools/">https://erwanm.github.io/tdc-tools/</a></li> </ul> </li> </ul> <p><strong>Important:</strong> the raw data from which this data is derived was downloaded from <a href="https://www.nlm.nih.gov/medline/medline_overview.html">Medline</a>, <a href="https://www.ncbi.nlm.nih.gov/pmc/">PubMedCentral</a> and <a href="https://www.ncbi.nlm.nih.gov/research/pubtator/">PubTatorCentral</a>, provided <a href="https://www.nlm.nih.gov/databases/download/terms_and_conditions.html">courtesy of the U.S. National Library of Medicine (NLM)</a>. The data was extracted in January 2021 and do not reflect the most current/accurate data available from NLM. See the github repository above in order to generate similar datasets from up to date data.</p>
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