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Towards A Gold Standard Corpus For Variable Detection And Linking In Social Science Publications ...
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Towards A Gold Standard Corpus For Variable Detection And Linking In Social Science Publications ...
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Towards a Gold Standard Corpus for Variable Detection and Linking in Social Science Publications
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In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC) ; International Conference on Language Resources and Evaluation (LREC) ; 11 (2018)
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Mining Social Science Publications for Survey Variables
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In: Proceedings of the Second Workshop on NLP and Computational Social Science ; 47-52 (2018)
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Mining Social Science Publications For Survey Variables ...
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Abstract:
Research in Social Science is usually based on survey data where individual research questions relate to observable concepts (variables). However, due to a lack of standards for data citations a reliable identification of the variables used is often difficult. In this paper, we present a work-in-progress study that seeks to provide a solution to the variable detection task based on supervised machine learning algorithms, using a linguistic analysis pipeline to extract a rich feature set, including terminological concepts and similarity metric scores. Further, we present preliminary results on a small dataset that has been specifically designed for this task, yielding a significant increase in performance over the random baseline ...
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Keyword:
Information Extraction, Text Mining, Survey Variables
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URL: https://zenodo.org/record/1299970 https://dx.doi.org/10.5281/zenodo.1299970
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Using text segmentation algorithms for the automatic generation of E-learning courses
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In: Fraunhofer IOSB (2014)
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Exploiting social media for natural language processing: Bridging the gap between language-centric and real-world applications
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In: Fraunhofer IOSB (2013)
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Social media text mining and network analysis for decision support in natural crisis management
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In: Fraunhofer IOSB (2013)
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Detecting natural disaster events on twitter across languages
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In: Fraunhofer IOSB (2013)
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Social-media text mining and network analysis to support decision support for natural crisis management
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Exploiting Social Media for Natural Language Processing: Bridging the Gap between Language-centric and Real-world Applications
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Multilingual analysis of Twitter news in support of mass emergency events
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In: Fraunhofer IOSB (2012)
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Multilingual analysis of Twitter news in support of mass emergency events
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In: Fraunhofer IOSB (2012)
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