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Ivan Habernal
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Publications
- 2024
- [c37]Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal:
DP-NMT: Scalable Differentially Private Machine Translation. EACL (Demonstrations) 2024: 94-105 - 2023
- [c34]Cleo Matzken, Steffen Eger, Ivan Habernal:
Trade-Offs Between Fairness and Privacy in Language Modeling. ACL (Findings) 2023: 6948-6969 - [c33]Timour Igamberdiev, Ivan Habernal:
DP-BART for Privatized Text Rewriting under Local Differential Privacy. ACL (Findings) 2023: 13914-13934 - [c32]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: 766-776 - [i21]Timour Igamberdiev, Ivan Habernal:
DP-BART for Privatized Text Rewriting under Local Differential Privacy. CoRR abs/2302.07636 (2023) - [i20]Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal:
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. CoRR abs/2303.03053 (2023) - [i19]Cleo Matzken, Steffen Eger, Ivan Habernal:
Trade-Offs Between Fairness and Privacy in Language Modeling. CoRR abs/2305.14936 (2023) - [i17]Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal:
DP-NMT: Scalable Differentially-Private Machine Translation. CoRR abs/2311.14465 (2023) - 2022
- [c28]Timour Igamberdiev, Thomas Arnold, Ivan Habernal:
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. COLING 2022: 2927-2933 - [c27]Manuel Senge, Timour Igamberdiev, Ivan Habernal:
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. EMNLP 2022: 7340-7353 - [c26]Timour Igamberdiev, Ivan Habernal:
Privacy-Preserving Graph Convolutional Networks for Text Classification. LREC 2022: 338-350 - [i14]Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining Legal Arguments in Court Decisions. CoRR abs/2208.06178 (2022) - [i13]Timour Igamberdiev, Thomas Arnold, Ivan Habernal:
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. CoRR abs/2208.10400 (2022) - [i12]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 abs/2209.02022 (2022) - 2021
- [e5]Isabelle Augenstein, Ivan Habernal:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, EACL 2021, Online, April 19-20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-03-9 [contents] - [i9]Timour Igamberdiev, Ivan Habernal:
Privacy-Preserving Graph Convolutional Networks for Text Classification. CoRR abs/2102.09604 (2021) - [i7]Manuel Senge, Timour Igamberdiev, Ivan Habernal:
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. CoRR abs/2112.08159 (2021) - 2020
- [c24]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring faithful sentence-level rationales without supervision. EMNLP (Findings) 2020: 1080-1095 - [i6]Max Glockner, Ivan Habernal, Iryna Gurevych:
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR abs/2010.03384 (2020) - 2018
- [c23]Ivan Habernal, Patrick Pauli, Iryna Gurevych:
Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. LREC 2018 - [c22]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. NAACL-HLT 2018: 386-396 - [c21]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. NAACL-HLT 2018: 1930-1940 - [c20]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. SemEval@NAACL-HLT 2018: 763-772 - [i5]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. CoRR abs/1802.06613 (2018) - 2017
- [j4]Ivan Habernal, Iryna Gurevych:
Argumentation Mining in User-Generated Web Discourse. Comput. Linguistics 43(1): 125-179 (2017) - [c19]Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein:
Argumentation Quality Assessment: Theory vs. Practice. ACL (2) 2017: 250-255 - [c18]Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych:
Argotario: Computational Argumentation Meets Serious Games. EMNLP (System Demonstrations) 2017: 7-12 - [c17]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP 2017: 2055-2066 - [e4]Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker:
Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-84-5 [contents] - [i4]Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych:
What is the Essence of a Claim? Cross-Domain Claim Identification. CoRR abs/1704.07203 (2017) - [i3]Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych:
Argotario: Computational Argumentation Meets Serious Games. CoRR abs/1707.06002 (2017) - [i2]Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein:
The Argument Reasoning Comprehension Task. CoRR abs/1708.01425 (2017) - 2016
- [c16]Ivan Habernal, Iryna Gurevych:
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. ACL (1) 2016 - [c15]Ivan Habernal, Iryna Gurevych:
What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. EMNLP 2016: 1214-1223 - [c14]Ivan Habernal, Omnia Zayed, Iryna Gurevych:
C4Corpus: Multilingual Web-size Corpus with Free License. LREC 2016 - [c13]Maria Sukhareva, Judith Eckle-Kohler, Ivan Habernal, Iryna Gurevych:
Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. LREC 2016 - [c12]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: 701-704 - [i1]Ivan Habernal, Iryna Gurevych:
Argumentation Mining in User-Generated Web Discourse. CoRR abs/1601.02403 (2016) - 2015
- [c11]Ivan Habernal, Iryna Gurevych:
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. EMNLP 2015: 2127-2137 - 2014
- [c10]Ivan Habernal, Judith Eckle-Kohler, Iryna Gurevych:
Argumentation Mining on the Web from Information Seeking Perspective. ArgNLP 2014
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