NLPExplorer

Josef Ruppenhofer

Number of Papers:- 56

Number of Citations:- 140

First ACL Paper:- 2007

Latest ACL Paper:- 2022

Venues:-

KONVENS

EACL

NAACL

SEW

IJCNLP

WASSA

LREC

IWCS

ACL

*SEMEVAL

CoNLL

COLING

LAW

RANLP

CogALex

SIGDIAL

UDW

Co-Authors:-

Alessandra Teresa Cignarella

Similar Authors:-

Identifying Implicitly Abusive Remarks about Identity Groups using a Linguistically Informed Approach NAACL

Michael Wiegand | Elisabeth Eder | Josef Ruppenhofer |

Who’s in, who’s out? Predicting the Inclusiveness or Exclusiveness of Personal Pronouns in Parliamentary Debates LREC

Ines Rehbein | Josef Ruppenhofer |

Exploiting Emojis for Abusive Language Detection EACL

Michael Wiegand | Josef Ruppenhofer |

Implicitly Abusive Comparisons – A New Dataset and Linguistic Analysis EACL

Michael Wiegand | Maja Geulig | Josef Ruppenhofer |

Implicitly Abusive Language – What does it actually look like and why are we not getting there? NAACL

Michael Wiegand | Josef Ruppenhofer | Elisabeth Eder |

Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates KONVENS WS

Ines Rehbein | Josef Ruppenhofer | Julian Bernauer |

I’ve got a construction looks funny – representing and recovering non-standard constructions in UD COLING UDW

Josef Ruppenhofer | Ines Rehbein |

Fine-grained Named Entity Annotations for German Biographic Interviews LREC

Josef Ruppenhofer | Ines Rehbein | Carolina Flinz |

Doctor Who? Framing Through Names and Titles in German LREC

A New Resource for German Causal Language LREC

Ines Rehbein | Josef Ruppenhofer |

Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions LREC

Marc Schulder | Michael Wiegand | Josef Ruppenhofer |

Improving Sentence Boundary Detection for Spoken Language Transcripts LREC

Ines Rehbein | Josef Ruppenhofer | Thomas Schmidt |

Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies LREC

Detection of Abusive Language: the Problem of Biased Datasets NAACL

Michael Wiegand | Josef Ruppenhofer | Thomas Kleinbauer |

Detecting Derogatory Compounds – An Unsupervised Approach NAACL

Michael Wiegand | Maximilian Wolf | Josef Ruppenhofer |

Not My President: How Names and Titles Frame Political Figures NAACL WS

tweeDe – A Universal Dependencies treebank for German tweets WS

Ines Rehbein | Josef Ruppenhofer | Bich-Ngoc Do |

Sprucing up the trees – Error detection in treebanks COLING

Ines Rehbein | Josef Ruppenhofer |

Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German COLING

Marc Schulder | Michael Wiegand | Josef Ruppenhofer |

Distinguishing affixoid formations from compounds COLING

Josef Ruppenhofer | Michael Wiegand | Rebecca Wilm | Katja Markert |

Disambiguation of Verbal Shifters LREC

Michael Wiegand | Sylvette Loda | Josef Ruppenhofer |

Introducing a Lexicon of Verbal Polarity Shifters for English LREC

Marc Schulder | Michael Wiegand | Josef Ruppenhofer | Stephanie Köser |

Building a Morphological Treebank for German from a Linguistic Database LREC

Petra Steiner | Josef Ruppenhofer |

Inducing a Lexicon of Abusive Words – a Feature-Based Approach NAACL

Michael Wiegand | Josef Ruppenhofer | Anna Schmidt | Clayton Greenberg |

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features IJCNLP

Marc Schulder | Michael Wiegand | Josef Ruppenhofer | Benjamin Roth |

Detecting annotation noise in automatically labelled data ACL

Ines Rehbein | Josef Ruppenhofer |

Evaluating the morphological compositionality of polarity RANLP

Josef Ruppenhofer | Petra Steiner | Michael Wiegand |

Catching the Common Cause: Extraction and Annotation of Causal Relations and their Participants LAW WS

Ines Rehbein | Josef Ruppenhofer |

Effect Functors for Opinion Inference LREC

Josef Ruppenhofer | Jasper Brandes |

Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features NAACL

Michael Wiegand | Marc Schulder | Josef Ruppenhofer |

Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach NAACL

Michael Wiegand | Christine Bocionek | Josef Ruppenhofer |

Opinion Holder and Target Extraction based on the Induction of Verbal Categories CoNLL

Michael Wiegand | Josef Ruppenhofer |

Ordering adverbs by their scaling effect on adjective intensity RANLP

Josef Ruppenhofer | Jasper Brandes | Petra Steiner | Michael Wiegand |

Extending effect annotation with lexical decomposition WASSA WS

Josef Ruppenhofer | Jasper Brandes |

Opinion Holder and Target Extraction for Verb-based Opinion Predicates – The Problem is Not Solved WASSA WS

Michael Wiegand | Marc Schulder | Josef Ruppenhofer |

Comparing methods for deriving intensity scores for adjectives EACL

Josef Ruppenhofer | Michael Wiegand | Jasper Brandes |

Dimensions of Metaphorical Meaning CogALex WS

Andrew Gargett | Josef Ruppenhofer | John Barnden |

Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives NAACL

Michael Wiegand | Josef Ruppenhofer | Dietrich Klakow |

Towards Weakly Supervised Resolution of Null Instantiations IWCS WS

Philip Gorinski | Josef Ruppenhofer | Caroline Sporleder |

MLSA — A Multi-layered Reference Corpus for German Sentiment Analysis LREC

Yes we can!? Annotating English modal verbs LREC

Josef Ruppenhofer | Ines Rehbein |

Semantic frames as an anchor representation for sentiment analysis WASSA WS

Josef Ruppenhofer | Ines Rehbein |

Evaluating the Impact of Coder Errors on Active Learning ACL

Ines Rehbein | Josef Ruppenhofer |

In Search of Missing Arguments: A Linguistic Approach RANLP

Josef Ruppenhofer | Philip Gorinski | Caroline Sporleder |

Learning Script Participants from Unlabeled Data RANLP

Michaela Regneri | Alexander Koller | Josef Ruppenhofer | Manfred Pinkal |

Bringing Active Learning to Life COLING

Ines Rehbein | Josef Ruppenhofer | Alexis Palmer |

Speaker Attribution in Cabinet Protocols LREC

Josef Ruppenhofer | Caroline Sporleder | Fabian Shirokov |

Generating FrameNets of Various Granularities: The FrameNet Transformer LREC

Josef Ruppenhofer | Jonas Sunde | Manfred Pinkal |

There’s no Data like More Data? Revisiting the Impact of Data Size on a Classification Task LREC

Ines Rehbein | Josef Ruppenhofer |

SemEval-2010 Task 10: Linking Events and Their Participants in Discourse *SEMEVAL

SemEval-2010 Task 10: Linking Events and Their Participants in Discourse SEW WS

Assessing the benefits of partial automatic pre-labeling for frame-semantic annotation LAW WS

Ines Rehbein | Josef Ruppenhofer | Caroline Sporleder |

Discourse Level Opinion Interpretation COLING

Swapna Somasundaran | Janyce Wiebe | Josef Ruppenhofer |

Finding the Sources and Targets of Subjective Expressions LREC

Josef Ruppenhofer | Swapna Somasundaran | Janyce Wiebe |

Discourse Level Opinion Relations: An Annotation Study SIGDIAL WS

Swapna Somasundaran | Josef Ruppenhofer | Janyce Wiebe |

Detecting Arguing and Sentiment in Meetings SIGDIAL

Swapna Somasundaran | Josef Ruppenhofer | Janyce Wiebe |