Ivan Habernal

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 54

Top Topics

Differentially Private

Differential Privacy

Language Modeling

Top Venues

Inf. Process. Manag.

Publications

Lijie Hu, Ivan Habernal, Lei Shen, Di Wang
Differentially Private Natural Language Models: Recent Advances and Future Directions. EACL (Findings) (2024)
Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard
Mining legal arguments in court decisions. Artif. Intell. Law 32 (3) (2024)
Marius Büttner, Ivan Habernal
Answering legal questions from laymen in German civil law system. EACL (1) (2024)
Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
DP-NMT: Scalable Differentially Private Machine Translation. EACL (Demonstrations) (2024)
Christopher Weiss, Frauke Kreuter, Ivan Habernal
To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems? LREC/COLING (2024)
Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. CoRR (2024)
Cleo Matzken, Steffen Eger, Ivan Habernal
Trade-Offs Between Fairness and Privacy in Language Modeling. CoRR (2023)
Timour Igamberdiev, Ivan Habernal
DP-BART for Privatized Text Rewriting under Local Differential Privacy. ACL (Findings) (2023)
Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
DP-NMT: Scalable Differentially-Private Machine Translation. CoRR (2023)
Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. CoRR (2023)
Christopher Weiss, Frauke Kreuter, Ivan Habernal
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? CoRR (2023)
Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. ICWSM (2023)
Cleo Matzken, Steffen Eger, Ivan Habernal
Trade-Offs Between Fairness and Privacy in Language Modeling. ACL (Findings) (2023)
Lena Held, Ivan Habernal
LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights. CoRR (2023)
Lijie Hu, Ivan Habernal, Lei Shen, Di Wang
Differentially Private Natural Language Models: Recent Advances and Future Directions. CoRR (2023)
Timour Igamberdiev, Ivan Habernal
DP-BART for Privatized Text Rewriting under Local Differential Privacy. CoRR (2023)
Ivan Habernal
How reparametrization trick broke differentially-private text representation learning. ACL (2) (2022)
Ying Yin, Ivan Habernal
Privacy-Preserving Models for Legal Natural Language Processing. CoRR (2022)
Ying Yin, Ivan Habernal
Privacy-Preserving Models for Legal Natural Language Processing. NLLP@EMNLP (2022)
Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard
Mining Legal Arguments in Court Decisions. CoRR (2022)
Leonard Bongard, Lena Held, Ivan Habernal
The Legal Argument Reasoning Task in Civil Procedure. NLLP@EMNLP (2022)
Timour Igamberdiev, Ivan Habernal
Privacy-Preserving Graph Convolutional Networks for Text Classification. LREC (2022)
Manuel Senge, Timour Igamberdiev, Ivan Habernal
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. EMNLP (2022)
Ivan Habernal
How reparametrization trick broke differentially-private text representation leaning. CoRR (2022)
Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application. CoRR (2022)
Timour Igamberdiev, Thomas Arnold, Ivan Habernal
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. COLING (2022)
Leonard Bongard, Lena Held, Ivan Habernal
The Legal Argument Reasoning Task in Civil Procedure. CoRR (2022)
Timour Igamberdiev, Thomas Arnold, Ivan Habernal
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. CoRR (2022)
Timour Igamberdiev, Ivan Habernal
Privacy-Preserving Graph Convolutional Networks for Text Classification. CoRR (2021)
Ivan Habernal
When differential privacy meets NLP: The devil is in the detail. EMNLP (1) (2021)
Manuel Senge, Timour Igamberdiev, Ivan Habernal
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. CoRR (2021)
Ivan Habernal
When differential privacy meets NLP: The devil is in the detail. CoRR (2021)
Max Glockner, Ivan Habernal, Iryna Gurevych
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR (2020)
Max Glockner, Ivan Habernal, Iryna Gurevych
Why do you think that? Exploring faithful sentence-level rationales without supervision. EMNLP (Findings) (2020)
Ivan Habernal, Patrick Pauli, Iryna Gurevych
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. LREC (2018)
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. NAACL-HLT (2018)
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. NAACL-HLT (2018)
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. SemEval@NAACL-HLT (2018)
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. CoRR (2018)
Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych
Argotario: Computational Argumentation Meets Serious Games. CoRR (2017)
Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych
What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP (2017)
Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych
What is the Essence of a Claim? Cross-Domain Claim Identification. CoRR (2017)
Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein
Argumentation Quality Assessment: Theory vs. Practice. ACL (2) (2017)
Ivan Habernal, Iryna Gurevych
Argumentation Mining in User-Generated Web Discourse. Comput. Linguistics 43 (1) (2017)
Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
The Argument Reasoning Comprehension Task. CoRR (2017)
Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych
Argotario: Computational Argumentation Meets Serious Games. EMNLP (System Demonstrations) (2017)
Ivan Habernal, Iryna Gurevych
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. ACL (1) (2016)
Ivan Habernal, Omnia Zayed, Iryna Gurevych
C4Corpus: Multilingual Web-size Corpus with Free License. LREC (2016)
Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, Iryna Gurevych
New Collection Announcement: Focused Retrieval Over the Web. SIGIR (2016)
Maria Sukhareva, Judith Eckle-Kohler, Ivan Habernal, Iryna Gurevych
Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. LREC (2016)
Ivan Habernal, Iryna Gurevych
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. EMNLP (2016)
Ivan Habernal, Iryna Gurevych
Argumentation Mining in User-Generated Web Discourse. CoRR (2016)
Ivan Habernal, Iryna Gurevych
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. EMNLP (2015)
Ivan Habernal, Tomás Ptácek, Josef Steinberger
Reprint of "Supervised sentiment analysis in Czech social media". Inf. Process. Manag. 51 (4) (2015)
Ivan Habernal, Tomás Ptácek, Josef Steinberger
Supervised sentiment analysis in Czech social media. Inf. Process. Manag. 50 (5) (2014)
Tomás Ptácek, Ivan Habernal, Jun Hong
Sarcasm Detection on Czech and English Twitter. COLING (2014)
Ivan Habernal, Judith Eckle-Kohler, Iryna Gurevych
Argumentation Mining on the Web from Information Seeking Perspective. ArgNLP (2014)
Ivan Habernal, Tomás Brychcín
Semantic Spaces for Sentiment Analysis. TSD (2013)
Tomás Brychcín, Ivan Habernal
Unsupervised Improving of Sentiment Analysis Using Global Target Context. RANLP (2013)
Ivan Habernal, Miloslav Konopík
SWSNL: Semantic Web Search Using Natural Language. Expert Syst. Appl. 40 (9) (2013)
Ivan Habernal, Tomás Ptácek, Josef Steinberger
Sentiment Analysis in Czech Social Media Using Supervised Machine Learning. WASSA@NAACL-HLT (2013)
Ivan Habernal, Miloslav Konopík
Hybrid Semantic Analysis System - ATIS Data Evaluation. ADMA (2) (2010)
Ivan Habernal, Miloslav Konopík
Semantic Annotation for the LingvoSemantics Project. TSD (2009)
Miloslav Konopík, Ivan Habernal
Hybrid Semantic Analysis. TSD (2009)
Ivan Habernal, Miloslav Konopík
Active Tags for Semantic Analysis. TSD (2008)
Ivan Habernal, Miloslav Konopík
JAAE: the java abstract annotation editor. INTERSPEECH (2007)