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AIPHES
Sitemap – www.informatik.tu-darmstadt.de/aiphes
AIPHES
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Area A: Graph-based discourse processing
A1: Entity Linking/Cross-document Coreference Resolution
A2: Identification of complex event structures in discourse
A3: Opinion and Sentiment - extrapropositional aspects of discourse
Area B: Natural Language Processing for multi-document summarization
B1: Structured summaries of complex contents
B2: Content comparison through large-scale inference and reasoning
B3: Data-driven paraphrasing and harmonization of language style
Area C: Representation and analysis of text-based structures
C1: Motif Analysis of Text-Based Graphs
C2: Methods for contextual and constraint-based ranking
C3: Deep Learning embeddings for adaptive language processing
Area D: Criteria and methods for quality assessment
D1: Multi-level models of information quality in online scenarios
D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources
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