SentiWS - A Publicly Available German-language Resource for Sentiment Analysis. - Robert Remus; Uwe Quasthoff; Gerhard Heyer (LREC, 2010)

Towards Well-Grounded Phrase-Level Polarity Analysis. - Robert Remus; Christian Hänig (CICLing (1), 2011)

Improving Sentence-level Subjectivity Classification through Readability Measurement. - Robert Remus (NODALIDA, 2011)

Domain Adaptation Using Domain Similarity- and Domain Complexity-Based Instance Selection for Cross-Domain Sentiment Analysis. - Robert Remus (ICDM Workshops, 2012)

Textual Characteristics for Language Engineering. - Mathias Bank; Robert Remus; Martin Schierle (LREC, 2012)

MLSA - A Multi-layered Reference Corpus for German Sentiment Analysis. - Simon Clematide; Stefan Gindl; Manfred Klenner; Stefanos Petrakis; Robert Remus; Josef Ruppenhofer; Ulli Waltinger; Michael Wiegand (LREC, 2012)

Learning Categories and their Instances by Contextual Features. - Antje Schlaf; Robert Remus (LREC, 2012)

Labeling Queries for a People Search Engine. - Antje Schlaf; Amit Kirschenbaum; Robert Remus; Thomas Efer (NLDB, 2012)

Modeling and Representing Negation in Data-driven Machine Learning-based Sentiment Analysis. - Robert Remus (ESSEM@AI*IA, 2013)

Data-Driven vs. Dictionary-Based Word n-Gram Feature Induction for Sentiment Analysis. - Robert Remus; Sven Rill (GSCL, 2013)

ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques. - Robert Remus (SemEval@NAACL-HLT, 2013)

Learning from Domain Complexity. - Robert Remus; Dominique Ziegelmayer (LREC, 2014)

ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic Textual Similarity. - Christian Hänig; Robert Remus; Xose de la Puente (SemEval@NAACL-HLT, 2015)

ExB Text Summarizer. - Stefan Thomas; Christian Beutenmüller; Xose de la Puente; Robert Remus; Stefan Bordag (SIGDIAL Conference, 2015)

Genre and Domain Dependencies in Sentiment Analysis - Robert Remus (2015)