Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

1 code implementation • 1 Feb 2021 • Albert Weichselbraun, Jakob Steixner, Adrian M. P. Braşoveanu, Arno Scharl, Max Göbel, Lyndon J. B. Nixon

Sentic computing relies on well-defined affective models of different complexity - polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions.

Knowledge Graphs Marketing

A Regional News Corpora for Contextualized Entity Discovery and Linking

no code implementations • LREC 2016 • Adrian Bra{\c{s}}oveanu, Lyndon J.B. Nixon, Albert Weichselbraun, Arno Scharl

This paper presents a German corpus for Named Entity Linking (NEL) and Knowledge Base Population (KBP) tasks.

Clustering Entity Linking +1

Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines

no code implementations • LREC 2014 • Marta Sabou, Kalina Bontcheva, Leon Derczynski, Arno Scharl

Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of annotated corpora and a wide range of other linguistic resources.

Domain Adaptation Natural Language Inference +3

Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources

no code implementations • LREC 2012 • Arno Scharl, Marta Sabou, Stefan Gindl, Walter Rafelsberger, Albert Weichselbraun

We describe the goals and structure of the game, the underlying application framework, the sentiment lexicons gathered through crowdsourcing, as well as a novel approach to automatically extend the lexicons by means of a bootstrapping process.