In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain text…

In a time-lapse 3-D seismic (TL3D) project, a “monitor” seismic survey is compared to a “base”
survey. Ideally, the base survey is a 3-D data set acquired before production from the field …

Social media platforms are used by an increasing number of extremist political actors for
mobilization, recruiting or radicalization purposes. We propose a machine learning approach to …

In this paper, we present HeiNER, the multilingual Heidelberg Named Entity Resource.
HeiNER contains 1,547,586 disambiguated English Named Entities together with translations …

In this paper we describe the contributions made by the European H2020 project “Prêt-a-LLOD”(‘Ready-to-use
Multilingual Linked Language Data for Knowledge Services across …

Word embeddings have been shown to be highly effective in a variety of lexical semantic
tasks. They tend to capture meaningful relational similarities between individual words, at the …

We describe the use of linguistic linked data to support a cross-lingual transfer framework
for sentiment analysis in the pharmaceutical domain. The proposed system dynamically …

We propose to study the evolution of concepts by learning to complete diachronic analogies
between lists of terms which relate to the same concept at different points in time. We …

This paper introduces an attribute selection task as a way to characterize the inherent meaning
of property-denoting adjectives in adjective-noun phrases, such as eg hot in hot summer …

We present an approach to model hidden attributes in the compositional semantics of
adjective-noun phrases in a distributional model. For the representation of adjective meanings, we …