Christian Spurk

TL;DR: The aligned ontology was used to semantically annotate original data obtained from the tourism web sites and natural language questions and its alignment with the upper ontologies - WordNet and SUMO is described.

TL;DR: This paper presents the QALL-ME Framework, a reusable architecture for building multi- and cross-lingual Question Answering (QA) systems working on structured data modelled by an ontology, and presents a running example to clarify how the framework processes questions.

TL;DR: A novel application for structured search in scientific digital libraries that provides search in both its bibliographic metadata and semantically analyzed full textual content and serves as a showcase for the recent progress in natural language processing research and language technology.

TL;DR: A large coreference annotation task performed on a corpus of 266 papers from the ACL Anthology, which can be used to train coreference resolution systems in the Computational Linguistics and Language Technology domain for semantic search, taxonomy extraction, question answering, citation analysis, scientific discourse analysis, etc.

TL;DR: A Question Answering system which retrieves answers from structured data regarding cinemas and movies using Textual Entailment as a means for semantic inference and can be used in both monolingual and cross-language settings with slight adjustments for new input languages.