Hand-coded scripts were used in the 1970-80s as knowledge backbones that enabled
inference and other NLP tasks requiring deep semantic knowledge. We propose …

Semantic taxonomies such as WordNet provide a rich source of knowl-edge for natural
language processing applications, but are expensive to build, maintain, and extend …

What can happen if we combine the best ideas from the Social Web and Semantic Web?
The Social Web is an ecosystem of participation, where value is created by the aggregation …

We propose a method for automatically labelling topics learned via LDA topic models. We
generate our label candidate set from the top-ranking topic terms, titles of Wikipedia articles …

Automatic classification of sentiment is important for numerous applications such as opinion
mining, opinion summarization, contextual advertising, and market analysis. Typically …

In this paper, we present Espresso, a weakly-supervised, general-purpose, and accurate
algorithm for harvesting semantic relations. The main contributions are: i) a method for …

We present a comprehensive approach to ontology evaluation and validation, which have
become a crucial problem for the development of semantic technologies. Existing evaluation …

Broad-coverage repositories of semantic relations between verbs could benefit many NLP
tasks. We present a semi-automatic method for extracting fine-grained semantic relations …

We introduce two ways to detect entailment using distributional semantic representations of
phrases. Our first experiment shows that the entailment relation between adjective-noun …

Distributional word similarity is most commonly perceived as a symmetric relation. Yet,
directional relations are abundant in lexical semantics and in many Natural Language …