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Named Entity Recognition for German Using Conditional Random Fields and Linguistic Resources
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3 |
GermEval-2014: Nested Named Entity Recognition with Neural Networks
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Detecting Comparative Sentiment Expressions – A Case Study in Annotation Design Decisions
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Verb Polarity Frames: a New Resource and its Application in Target-specific Polarity Classification
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7 |
Semi-Supervised Neural Networks for Nested Named Entity Recognition
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8 |
MoSTNER: Morphology-aware Split-Tag German NER with Factorie
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9 |
German Perception Verbs: Automatic Classification of Prototypical and Multiple Non-literal Meanings
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10 |
DRIM: Named Entity Recognition for German using Support Vector Machines
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11 |
Data Exploration of Sentence Structures and Embellishments in German texts: Comparing Children’s Writing vs Literature
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12 |
Nessy: A Hybrid Approach to Named Entity Recognition for German
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BASE
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13 |
GermEval 2014 Named Entity Recognition Shared Task: Companion Paper
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BASE
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15 |
Influence of Information Structure on the Salience of Opinions
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16 |
Atomic: an open-source software platform for multi-level corpus annotation
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18 |
Detecting Irony Patterns in Multi-level Annotated Web Comments
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19 |
Modular Classifier Ensemble Architecture for Named Entity Recognition on Low Resource Systems
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