CLARIN: Distributed Language Resources and Technology in a European Infrastructure

no code implementations • LREC 2020 • Maria Eskevich, Franciska de Jong, Alex K{\"o}nig, er, Darja Fi{\v{s}}er, Dieter van Uytvanck, Tero Aalto, Lars Borin, Olga Gerassimenko, Jan Hajic, Henk van den Heuvel, Neeme Kahusk, Krista Liin, Martin Matthiesen, Stelios Piperidis, Kadri Vider

CLARIN is a European Research Infrastructure providing access to digital language resources and tools from across Europe and beyond to researchers in the humanities and social sciences.

Interoperability in an Infrastructure Enabling Multidisciplinary Research: The case of CLARIN

no code implementations • LREC 2020 • Franciska de Jong, Bente Maegaard, Darja Fi{\v{s}}er, Dieter van Uytvanck, Andreas Witt

CLARIN is a European Research Infrastructure providing access to language resources and technologies for researchers in the humanities and social sciences.

CLARIN: Towards FAIR and Responsible Data Science Using Language Resources

no code implementations • LREC 2018 • Franciska de Jong, Bente Maegaard, Koenraad De Smedt, Darja Fi{\v{s}}er, Dieter van Uytvanck

COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines

no code implementations • SEMEVAL 2017 • Kim Schouten, Flavius Frasincar, Franciska de Jong

This paper describes our submission to Task 5 of SemEval 2017, Fine-Grained Sentiment Analysis on Financial Microblogs and News, where we limit ourselves to performing sentiment analysis on news headlines only (track 2).

Position Sentiment Analysis

Survey: Computational Sociolinguistics: A Survey

no code implementations • CL 2016 • Dong Nguyen, A. Seza Do{\u{g}}ru{\"o}z, Carolyn P. Ros{\'e}, Franciska de Jong

Computational Sociolinguistics: A Survey

no code implementations • 30 Aug 2015 • Dong Nguyen, A. Seza Doğruöz, Carolyn P. Rosé, Franciska de Jong

Language is a social phenomenon and variation is inherent to its social nature.

COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis

no code implementations • SEMEVAL 2014 • Kim Schouten, Flavius Frasincar, Franciska de Jong

Sentiment Analysis

Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment

no code implementations • COLING 2014 • Dong Nguyen, Dolf Trieschnigg, A. Seza Do{\u{g}}ru{\"o}z, Rilana Gravel, Mari{\"e}t Theune, Theo Meder, Franciska de Jong

Applying prosodic speech features in mental health care: An exploratory study in a life-review intervention for depression

no code implementations • WS 2014 • Sanne M.A. Lamers, Khiet P. Truong, Bas Steunenberg, Franciska de Jong, Gerben J. Westerhof

Croatian Memories

no code implementations • LREC 2014 • Arjan van Hessen, Franciska de Jong, Stef Scagliola, Tanja Petrovic

In this contribution we describe a collection of approximately 400 video interviews recorded in the context of the project Croatian Memories (CroMe) with the objective of documenting personal war-related experiences.