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Towards Text Knowledge Engineering
TLDR
This work introduces a methodology for automating the maintenance of domain-specific taxonomies based on natural language text understanding and ranks concept hypotheses according to credibility and the most credible ones are selected for assimilation into the domain knowledge base. Expand
The Challenges of Automatic Summarization
TLDR
Researchers are investigating summarization tools and methods that automatically extract or abstract content from a range of information sources, including multimedia, looking at approaches which roughly fall into two categories: knowledge-poor and knowledge-rich. Expand
Functional Centering - Grounding Referential Coherence in Information Structure
TLDR
A revision of the principles guiding the ordering of discourse entities in the forward-looking center list within the centering model is proposed, claiming that grammatical role criteria should be replaced by criteria that reflect the functional information structure of the utterances. Expand
Event Extraction from Trimmed Dependency Graphs
We describe the approach to event extraction which the JulieLab Team from FSU Jena (Germany) pursued to solve Task 1 in the "BioNLP'09 Shared Task on Event Extraction". We incorporate manuallyExpand
Gene Regulation Ontology (GRO): Design Principles and Use Cases
TLDR
The design requirements for such a conceptual model and terminological resources suitable to base its construction on are introduced and the logical structure of the ontology is intended to meet the needs of advanced information extraction and text mining systems. Expand
BioTop: An upper domain ontology for the life sciencesA description of its current structure, contents and interfaces to OBO ontologies
TLDR
This work introduces BioTop, an upper domain ontology for molecular biology, and describes its structure and contents, as well as its current interfaces to a selected set of OBO ontologies, which contain more detailed terminological knowledge about specific areas of molecular biology. Expand
High-performance gene name normalization with GENO
TLDR
GeNo is presented, a highly competitive system for gene name normalization, which obtains an F-measure performance of 86.4% (precision: 87.8%, recall: 85.0%) on the BioCreAtIvE-II test set, thus being on a par with the best system on that task. Expand
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis
TLDR
EmoBank, a corpus of 10k English sentences balancing multiple genres, is described, which is annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format and achieves close-to-human performance when mapping between dimensional and categorical formats. Expand
Multi-Task Active Learning for Linguistic Annotations
TLDR
It is shown that MTAL outperforms random selection and a stronger baseline, onesided example selection, in which one task is pursued using AL and the selected examples are provided also to the other task. Expand
Functional Centering
TLDR
It is claimed that grammatical role criteria should be replaced by indicators of the functional information structure of the utterances, i.e., the distinction between context-bound and unbound discourse elements. Expand
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