Ivan Habernal

ivan.habernal@uni-paderborn.de
ID
101881

27 Publications

Mark all

[27]
2024 | Conference Paper | LibreCat-ID: 52827
L. Hu, I. Habernal, L. Shen, and D. Wang, “Differentially Private Natural Language Models: Recent Advances and Future Directions,” in Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, 2024, pp. 478–499.
LibreCat
 
[26]
2024 | Conference Paper | LibreCat-ID: 52842
T. Igamberdiev, D. N. L. Vu, F. Kuennecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially Private Machine Translation,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2024, pp. 94–105.
LibreCat
 
[25]
2024 | Conference Paper | LibreCat-ID: 52841
M. Büttner and I. Habernal, “Answering legal questions from laymen in German civil law system,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 2015–2027.
LibreCat
 
[24]
2023 | Conference Paper | LibreCat-ID: 48289
I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, and O. Feyisetan, “Privacy-Preserving Natural Language Processing,” 2023, doi: 10.18653/v1/2023.eacl-tutorials.6.
LibreCat | DOI
 
[23]
2023 | Conference Paper | LibreCat-ID: 48288
C. Matzken, S. Eger, and I. Habernal, “Trade-Offs Between Fairness and Privacy in Language Modeling,” 2023, doi: 10.18653/v1/2023.findings-acl.434.
LibreCat | DOI
 
[22]
2023 | Conference Paper | LibreCat-ID: 48291
N. Mouhammad, J. Daxenberger, B. Schiller, and I. Habernal, “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting,” 2023, doi: 10.18653/v1/2023.law-1.8.
LibreCat | DOI
 
[21]
2023 | Conference Paper | LibreCat-ID: 48296
Y. Yin and I. Habernal, “Privacy-Preserving Models for Legal Natural Language Processing,” 2023, doi: 10.18653/v1/2022.nllp-1.14.
LibreCat | DOI
 
[20]
2023 | Journal Article | LibreCat-ID: 48294
R. Sawhney, A. Neerkaje, I. Habernal, and L. Flek, “How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications,” Proceedings of the International AAAI Conference on Web and Social Media, vol. 17, pp. 766–776, 2023, doi: 10.1609/icwsm.v17i1.22186.
LibreCat | DOI
 
[19]
2023 | Conference Paper | LibreCat-ID: 48297
M. Senge, T. Igamberdiev, and I. Habernal, “One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks,” 2023, doi: 10.18653/v1/2022.emnlp-main.496.
LibreCat | DOI
 
[18]
2023 | Conference Paper | LibreCat-ID: 48292
T. Igamberdiev and I. Habernal, “DP-BART for Privatized Text Rewriting under Local Differential Privacy,” 2023, doi: 10.18653/v1/2023.findings-acl.874.
LibreCat | DOI
 
[17]
2023 | Conference Paper | LibreCat-ID: 48295
L. Bongard, L. Held, and I. Habernal, “The Legal Argument Reasoning Task in Civil Procedure,” 2023, doi: 10.18653/v1/2022.nllp-1.17.
LibreCat | DOI
 
[16]
2023 | Journal Article | LibreCat-ID: 48290
I. Habernal et al., “Mining legal arguments in court decisions,” Artificial Intelligence and Law, 2023, doi: 10.1007/s10506-023-09361-y.
LibreCat | DOI
 
[15]
2023 | Preprint | LibreCat-ID: 49649
T. Igamberdiev, D. N. L. Vu, F. Künnecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially-Private Machine Translation.” 2023.
LibreCat
 
[14]
2023 | Preprint | LibreCat-ID: 49650
L. Held and I. Habernal, “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights.” 2023.
LibreCat
 
[13]
2022 | Conference Paper | LibreCat-ID: 48299
T. Igamberdiev and I. Habernal, “Privacy-Preserving Graph Convolutional Networks for Text Classification,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, pp. 338–350.
LibreCat
 
[12]
2022 | Conference Paper | LibreCat-ID: 48300
T. Igamberdiev, T. Arnold, and I. Habernal, “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat
 
[11]
2022 | Conference Paper | LibreCat-ID: 48298
I. Habernal, “How reparametrization trick broke differentially-private text representation learning,” 2022, doi: 10.18653/v1/2022.acl-short.87.
LibreCat | DOI
 
[10]
2021 | Conference Paper | LibreCat-ID: 48286
I. Habernal, “When differential privacy meets NLP: The devil is in the detail,” 2021, doi: 10.18653/v1/2021.emnlp-main.114.
LibreCat | DOI
 
[9]
2020 | Conference Paper | LibreCat-ID: 48301
M. Glockner, I. Habernal, and I. Gurevych, “Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision,” 2020, doi: 10.18653/v1/2020.findings-emnlp.97.
LibreCat | DOI
 
[8]
2018 | Conference Paper | LibreCat-ID: 48303
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning Comprehension Task: Identification and            Reconstruction of Implicit Warrants,” 2018, doi: 10.18653/v1/n18-1175.
LibreCat | DOI
 
[7]
2018 | Conference Paper | LibreCat-ID: 48302
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in Web Argumentation,” 2018, doi: 10.18653/v1/n18-1036.
LibreCat | DOI
 
[6]
2018 | Conference Paper | LibreCat-ID: 48304
J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: 10.18653/v1/d17-1218.
LibreCat | DOI
 
[5]
2017 | Conference Paper | LibreCat-ID: 48305
H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs. Practice,” 2017, doi: 10.18653/v1/p17-2039.
LibreCat | DOI
 
[4]
2016 | Journal Article | LibreCat-ID: 48306
I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016, doi: 10.1162/coli_a_00276.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 48308
I. Habernal et al., “New Collection Announcement,” 2016, doi: 10.1145/2911451.2914682.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 48307
I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM,” 2016, doi: 10.18653/v1/p16-1150.
LibreCat | DOI
 
[1]
2016 | Conference Paper | LibreCat-ID: 48309
I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical analysis and detecting            attributes of convincingness in Web argumentation,” 2016, doi: 10.18653/v1/d16-1129.
LibreCat | DOI
 
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27 Publications

Mark all

[27]
2024 | Conference Paper | LibreCat-ID: 52827
L. Hu, I. Habernal, L. Shen, and D. Wang, “Differentially Private Natural Language Models: Recent Advances and Future Directions,” in Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024, 2024, pp. 478–499.
LibreCat
 
[26]
2024 | Conference Paper | LibreCat-ID: 52842
T. Igamberdiev, D. N. L. Vu, F. Kuennecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially Private Machine Translation,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2024, pp. 94–105.
LibreCat
 
[25]
2024 | Conference Paper | LibreCat-ID: 52841
M. Büttner and I. Habernal, “Answering legal questions from laymen in German civil law system,” in Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 2024, pp. 2015–2027.
LibreCat
 
[24]
2023 | Conference Paper | LibreCat-ID: 48289
I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, and O. Feyisetan, “Privacy-Preserving Natural Language Processing,” 2023, doi: 10.18653/v1/2023.eacl-tutorials.6.
LibreCat | DOI
 
[23]
2023 | Conference Paper | LibreCat-ID: 48288
C. Matzken, S. Eger, and I. Habernal, “Trade-Offs Between Fairness and Privacy in Language Modeling,” 2023, doi: 10.18653/v1/2023.findings-acl.434.
LibreCat | DOI
 
[22]
2023 | Conference Paper | LibreCat-ID: 48291
N. Mouhammad, J. Daxenberger, B. Schiller, and I. Habernal, “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting,” 2023, doi: 10.18653/v1/2023.law-1.8.
LibreCat | DOI
 
[21]
2023 | Conference Paper | LibreCat-ID: 48296
Y. Yin and I. Habernal, “Privacy-Preserving Models for Legal Natural Language Processing,” 2023, doi: 10.18653/v1/2022.nllp-1.14.
LibreCat | DOI
 
[20]
2023 | Journal Article | LibreCat-ID: 48294
R. Sawhney, A. Neerkaje, I. Habernal, and L. Flek, “How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications,” Proceedings of the International AAAI Conference on Web and Social Media, vol. 17, pp. 766–776, 2023, doi: 10.1609/icwsm.v17i1.22186.
LibreCat | DOI
 
[19]
2023 | Conference Paper | LibreCat-ID: 48297
M. Senge, T. Igamberdiev, and I. Habernal, “One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks,” 2023, doi: 10.18653/v1/2022.emnlp-main.496.
LibreCat | DOI
 
[18]
2023 | Conference Paper | LibreCat-ID: 48292
T. Igamberdiev and I. Habernal, “DP-BART for Privatized Text Rewriting under Local Differential Privacy,” 2023, doi: 10.18653/v1/2023.findings-acl.874.
LibreCat | DOI
 
[17]
2023 | Conference Paper | LibreCat-ID: 48295
L. Bongard, L. Held, and I. Habernal, “The Legal Argument Reasoning Task in Civil Procedure,” 2023, doi: 10.18653/v1/2022.nllp-1.17.
LibreCat | DOI
 
[16]
2023 | Journal Article | LibreCat-ID: 48290
I. Habernal et al., “Mining legal arguments in court decisions,” Artificial Intelligence and Law, 2023, doi: 10.1007/s10506-023-09361-y.
LibreCat | DOI
 
[15]
2023 | Preprint | LibreCat-ID: 49649
T. Igamberdiev, D. N. L. Vu, F. Künnecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially-Private Machine Translation.” 2023.
LibreCat
 
[14]
2023 | Preprint | LibreCat-ID: 49650
L. Held and I. Habernal, “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights.” 2023.
LibreCat
 
[13]
2022 | Conference Paper | LibreCat-ID: 48299
T. Igamberdiev and I. Habernal, “Privacy-Preserving Graph Convolutional Networks for Text Classification,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022, pp. 338–350.
LibreCat
 
[12]
2022 | Conference Paper | LibreCat-ID: 48300
T. Igamberdiev, T. Arnold, and I. Habernal, “DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 2927–2933.
LibreCat
 
[11]
2022 | Conference Paper | LibreCat-ID: 48298
I. Habernal, “How reparametrization trick broke differentially-private text representation learning,” 2022, doi: 10.18653/v1/2022.acl-short.87.
LibreCat | DOI
 
[10]
2021 | Conference Paper | LibreCat-ID: 48286
I. Habernal, “When differential privacy meets NLP: The devil is in the detail,” 2021, doi: 10.18653/v1/2021.emnlp-main.114.
LibreCat | DOI
 
[9]
2020 | Conference Paper | LibreCat-ID: 48301
M. Glockner, I. Habernal, and I. Gurevych, “Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision,” 2020, doi: 10.18653/v1/2020.findings-emnlp.97.
LibreCat | DOI
 
[8]
2018 | Conference Paper | LibreCat-ID: 48303
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “The Argument Reasoning Comprehension Task: Identification and            Reconstruction of Implicit Warrants,” 2018, doi: 10.18653/v1/n18-1175.
LibreCat | DOI
 
[7]
2018 | Conference Paper | LibreCat-ID: 48302
I. Habernal, H. Wachsmuth, I. Gurevych, and B. Stein, “Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies            in Web Argumentation,” 2018, doi: 10.18653/v1/n18-1036.
LibreCat | DOI
 
[6]
2018 | Conference Paper | LibreCat-ID: 48304
J. Daxenberger, S. Eger, I. Habernal, C. Stab, and I. Gurevych, “What is the Essence of a Claim? Cross-Domain Claim Identification,” 2018, doi: 10.18653/v1/d17-1218.
LibreCat | DOI
 
[5]
2017 | Conference Paper | LibreCat-ID: 48305
H. Wachsmuth et al., “Argumentation Quality Assessment: Theory vs. Practice,” 2017, doi: 10.18653/v1/p17-2039.
LibreCat | DOI
 
[4]
2016 | Journal Article | LibreCat-ID: 48306
I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web Discourse,” Computational Linguistics, vol. 43, no. 1, pp. 125–179, 2016, doi: 10.1162/coli_a_00276.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 48308
I. Habernal et al., “New Collection Announcement,” 2016, doi: 10.1145/2911451.2914682.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 48307
I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM,” 2016, doi: 10.18653/v1/p16-1150.
LibreCat | DOI
 
[1]
2016 | Conference Paper | LibreCat-ID: 48309
I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical analysis and detecting            attributes of convincingness in Web argumentation,” 2016, doi: 10.18653/v1/d16-1129.
LibreCat | DOI
 
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Citation Style: IEEE

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