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Part 1: Document Description
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Citation |
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Title: |
Sentiment Compound Data (DE) |
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Identification Number: |
doi:10.11588/data/LSTRK3 |
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Distributor: |
heiDATA |
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Date of Distribution: |
2019-09-05 |
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Version: |
1 |
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Bibliographic Citation: |
Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1 |
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Citation |
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Title: |
Sentiment Compound Data (DE) |
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Identification Number: |
doi:10.11588/data/LSTRK3 |
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Authoring Entity: |
Wiegand, Michael (Spoken Language Systems, Saarland University (2010-2018), Leibniz Institute for the German Language (since 2019)) |
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Bocionek, Christine (Spoken Language Systems, Saarland University) |
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Ruppenhofer, Josef (Leibniz Institute for the German Language) |
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Date of Production: |
2016 |
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Distributor: |
heiDATA |
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Access Authority: |
Wiegand, Michael |
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Date of Deposit: |
2019-07-31 |
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Holdings Information: |
https://doi.org/10.11588/data/LSTRK3 |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, sentiment, opinionrole extraction, opinion compounds, German |
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Topic Classification: |
sentiment, compound-internal role labelling |
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Abstract: |
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds. |
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Kind of Data: |
textual data in tab-separated format |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
<p>Wiegand, M., Bocionek, C., and Ruppenhofer, J. (2016). Opinion holder and target extraction on opinion compounds – a linguistic approach. In <em>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</em>, pages 800–810, June 12-17, 2016, San Diego, CA, USA.</p> |
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Identification Number: |
https://www.aclweb.org/anthology/N16-1094 |
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Bibliographic Citation: |
<p>Wiegand, M., Bocionek, C., and Ruppenhofer, J. (2016). Opinion holder and target extraction on opinion compounds – a linguistic approach. In <em>Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</em>, pages 800–810, June 12-17, 2016, San Diego, CA, USA.</p> |
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Label: |
LICENSE |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
supplementaryNotes.pdf |
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Notes: |
application/pdf |
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Label: |
README |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
sentimentViewsOfOpinionNouns.txt |
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Notes: |
text/plain |
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Label: |
holderVsTarget.gold.txt |
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Notes: |
text/plain |
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Label: |
README |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
roleVsNoRole.gold.txt |
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Notes: |
text/plain |