Josef Ruppenhofer

发表

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

Josef Ruppenhofer, Ines Rehbein, Caroline Sporleder, 2009, Linguistic Annotation Workshop.

Guidelines for IGGSA Shared Task on the Identification of Offensive Language

Josef Ruppenhofer, Melanie Siegel, M. W. March, 2018 .

Discourse Level Opinion Interpretation

Swapna Somasundaran, Josef Ruppenhofer, Janyce Wiebe, 2008, COLING.

FrameNet II: Extended theory and practice

Josef Ruppenhofer, Miriam R. L. Petruck, Christopher R. Johnson, 2006 .

A Supervised Learning Approach for the Extraction of Opinion Sources and Targets from German Text

Josef Ruppenhofer, Michael Wiegand, Margarita Chikobava, 2019 .

IGGSA Shared Tasks on German Sentiment Analysis (GESTALT)

Julia Maria Struß, Roman Klinger, Josef Ruppenhofer, 2014 .

Collocational information in the FrameNet database

Josef Ruppenhofer, Collin F. Baker, Charles J. Fillmore, 2002 .

Defining a gold standard for polar intensity ordering

Josef Ruppenhofer, Jasper Brandes, 2013 .

The treatment of emotion vocabulary in FrameNet: Past, present and future developments

Josef Ruppenhofer, 2018 .

Frames, polarity and causation

Laura A. Michaelis, Josef Ruppenhofer, 2016 .

Shared Tasks on German Sentiment Analysis ( GESTALT )

Julia Maria Struß, Roman Klinger, Josef Ruppenhofer, 2014 .

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

Ines Rehbein, Josef Ruppenhofer, 2020, UDW.

FrameNet: Theory and Practice

Josef Ruppenhofer, Charles J. Fillmore, Miriam R. L. Petruck, 2003 .

Offensive language without offensive words (OLWOW)

M. Klenner, Josef Ruppenhofer, Michael Wiegand, 2018 .

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

Josef Ruppenhofer, Elisabeth Eder, Michael Wiegand, 2022, NAACL.

The framenet project: tools for lexicon building

Josef Ruppenhofer, B. M. Wood, Miriam R. L. Petruck, 2001 .

Scales and Scores. An evaluation of methods to determine the intensity of subjective expressions

Josef Ruppenhofer, Petra C. Steiner, Jasper Brandes, 2015 .

Valence Creation and the German Applicative: the Inherent Semantics of Linking Patterns

Josef Ruppenhofer, Laura A. Michaelis, Josef Ruppenhofer, 2000, J. Semant..

Distinguishing affixoid formations from compounds

Michael Wiegand, Josef Ruppenhofer, Katja Markert, 2018, COLING.

Evaluating the Impact of Coder Errors on Active Learning

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2011, ACL.

Bringing Active Learning to Life

Josef Ruppenhofer, Ines Rehbein, Alexis Palmer, 2010, COLING.

Growing Trees from Morphs: Towards Data-Driven Morphological Parsing

Josef Ruppenhofer, Petra Steiner, Josef Ruppenhofer, 2015, GSCL.

Learning Script Participants from Unlabeled Data

Manfred Pinkal, Josef Ruppenhofer, Alexander Koller, 2011, RANLP.

FrameNet's Frames vs. Levin's Verb Classes

Josef Ruppenhofer, Collin F. Baker, Josef Ruppenhofer, 2002 .

Shouting and Screaming: Manner and Noise Verbs in Communication

Josef Ruppenhofer, Margaret Urban, Josef Ruppenhofer, 2001, Lit. Linguistic Comput..

Semantic frames as an anchor representation for sentiment analysis

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2012, WASSA@ACL.

Is it worth the effort? Assessing the benefits of partial automatic pre-labeling for frame-semantic annotation

Josef Ruppenhofer, Ines Rehbein, Caroline Sporleder, 2009, Lang. Resour. Evaluation.

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

Roser Morante, Josef Ruppenhofer, Martha Palmer, 2009, SemEval@ACL.

Detection of Abusive Language: the Problem of Biased Datasets

Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer, 2019, NAACL.

Overview of GermEval Task 2, 2019 Shared Task on the Identification of Offensive Language

Michael Wiegand, Josef Ruppenhofer, Manfred Klenner, 2019, KONVENS.

Yes we can!? Annotating the senses of English modal verbs

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2012 .

Framenet in Action: The Case of Attaching

Josef Ruppenhofer, Miriam R. L. Petruck, Charles J. Fillmore, 2003 .

Yes we can!? Annotating English modal verbs

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2012, LREC.

Sprucing up the trees – Error detection in treebanks

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2018, COLING.

Argument omissions in multiple German corpora

Josef Ruppenhofer, 2018, Constructional Approaches to Syntactic Structures in German.

Building a Morphological Treebank for German from a Linguistic Database

Josef Ruppenhofer, Petra Steiner, Josef Ruppenhofer, 2018, LREC.

Disambiguation of Verbal Shifters

Michael Wiegand, Josef Ruppenhofer, Sylvette Loda, 2018, LREC.

Introducing a Lexicon of Verbal Polarity Shifters for English

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2018, LREC.

A harmonised testsuite for POS tagging of German social media data

Josef Ruppenhofer, Ines Rehbein, Victor Zimmermann, 2018, KONVENS.

Negation Modeling for German Polarity Classification

Michael Wiegand, Josef Ruppenhofer, Maximilian Wolf, 2017, GSCL.

Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations pdf

Josef Ruppenhofer, Ines Rehbein, Amir Zeldes, 2020, Language Resources and Evaluation.

Discourse Level Opinion Relations: An Annotation Study

Swapna Somasundaran, Josef Ruppenhofer, Janyce Wiebe, 2008, SIGDIAL Workshop.

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

Josef Ruppenhofer, Elisabeth Eder, Michael Wiegand, 2021, NAACL.

Frames and the interpretation of omitted arguments in English

Josef Ruppenhofer, Laura A. Michaelis, Josef Ruppenhofer, 2014 .

Frames predict the interpretation of lexical omissions

Josef Ruppenhofer, Josef Ruppenhofer, 2009 .

Regularities in null instantiation

Josef Ruppenhofer, Josef Ruppenhofer, 2005 .

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

Michael Wiegand, Josef Ruppenhofer, Clayton Greenberg, 2018, NAACL.

Ordering adverbs by their scaling effect on adjective intensity

Michael Wiegand, Josef Ruppenhofer, Petra Steiner, 2015, RANLP.

Comparing methods for deriving intensity scores for adjectives

Michael Wiegand, Josef Ruppenhofer, Jasper Brandes, 2014, EACL.

A New Resource for German Causal Language

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2020, LREC.

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

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2017, LAW@ACL.

Reframing FrameNet Data

Josef Ruppenhofer, Miriam R. L. Petruck, Collin F. Baker, 2004 .

Beyond sentence-level semantic role labeling: linking argument structures in discourse

Josef Ruppenhofer, C. Sporleder, R. Morante, 2013, Lang. Resour. Evaluation.

Linking Events and Their Participants in Discourse

Roser Morante, Josef Ruppenhofer, Martha Palmer, 2010 .

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

Ines Rehbein, Josef Ruppenhofer, 2022, LREC.

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

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2020, LREC.

Not My President: How Names and Titles Frame Political Figures

Michael Wiegand, Josef Ruppenhofer, Katja Markert, 2019, Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science.

Detecting annotation noise in automatically labelled data

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2017, ACL.

Proceedings of the 12th Edition of the Konvens Conference, Hildesheim, Germany, October 8-10, 2014

Josef Ruppenhofer, Josef Ruppenhofer, 2014, KONVENS.

IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches

Josef Ruppenhofer, Stefan Gindl, Julia Maria Struß, 2014, J. Lang. Technol. Comput. Linguistics.

Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches

Michael Wiegand, Josef Ruppenhofer, Julia Maria Struß, 2016 .

Detecting Derogatory Compounds – An Unsupervised Approach

Michael Wiegand, Josef Ruppenhofer, Maximilian Wolf, 2019, NAACL.

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features

Michael Wiegand, Josef Ruppenhofer, Benjamin Roth, 2017, IJCNLP.

A constructional account of genre-based argument omissions

Josef Ruppenhofer, Laura A. Michaelis, Josef Ruppenhofer, 2010 .

Exploiting Emojis for Abusive Language Detection

Michael Wiegand, Josef Ruppenhofer, Josef Ruppenhofer, 2021, EACL.

Special Issue on Offensive Language

Josef Ruppenhofer, Guest, Gastherausgeber, 2020 .

Determining sentiment views of verbal multiword expressions using linguistic features

Josef Ruppenhofer, Marc Schulder, Michael Wiegand, 2023, Natural Language Engineering.

Automatic generation of lexica for sentiment polarity shifters

Michael Wiegand, Josef Ruppenhofer, Marc Schulder, 2020, Natural Language Engineering.

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

Michael Wiegand, Josef Ruppenhofer, Josef Ruppenhofer, 2015, CoNLL.

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

Simon Clematide, Michael Wiegand, Josef Ruppenhofer, 2012, LREC.

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

Ines Rehbein, Josef Ruppenhofer, J. Bernauer, 2022, KONVENS.

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

Josef Ruppenhofer, Ines Rehbein, Amir Zeldes, 2020, LREC.

Improving Sentence Boundary Detection for Spoken Language Transcripts

Josef Ruppenhofer, Ines Rehbein, Thomas Schmidt, 2020, LREC.

Euphemistic Abuse - A New Dataset and Classification Experiments for Implicitly Abusive Language

Josef Ruppenhofer, Elisabeth Eder, Michael Wiegand, 2023, EMNLP.

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

Josef Ruppenhofer, Ines Rehbein, Ines Rehbein, 2010, LREC.