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Ivan Habernal
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2020 – today
- 2024
- [j5]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): 1-38 (2024) - [c38]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: 16331-16342 - [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 - [c36]Lijie Hu, Ivan Habernal, Lei Shen, Di Wang:
Differentially Private Natural Language Models: Recent Advances and Future Directions. EACL (Findings) 2024: 478-499 - [c35]Marius Büttner, Ivan Habernal:
Answering legal questions from laymen in German civil law system. EACL (1) 2024: 2015-2027 - [i23]Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal:
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. CoRR abs/2407.18789 (2024) - 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 - [i22]Lijie Hu, Ivan Habernal, Lei Shen, Di Wang:
Differentially Private Natural Language Models: Recent Advances and Future Directions. CoRR abs/2301.09112 (2023) - [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) - [i18]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 abs/2307.06708 (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) - [i16]Lena Held, Ivan Habernal:
LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights. CoRR abs/2312.05061 (2023) - 2022
- [c31]Ivan Habernal:
How reparametrization trick broke differentially-private text representation learning. ACL (2) 2022: 771-777 - [c30]Ying Yin, Ivan Habernal:
Privacy-Preserving Models for Legal Natural Language Processing. NLLP@EMNLP 2022: 172-183 - [c29]Leonard Bongard, Lena Held, Ivan Habernal:
The Legal Argument Reasoning Task in Civil Procedure. NLLP@EMNLP 2022: 194-207 - [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 - [i15]Ivan Habernal:
How reparametrization trick broke differentially-private text representation leaning. CoRR abs/2202.12138 (2022) - [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) - [i11]Leonard Bongard, Lena Held, Ivan Habernal:
The Legal Argument Reasoning Task in Civil Procedure. CoRR abs/2211.02950 (2022) - [i10]Ying Yin, Ivan Habernal:
Privacy-Preserving Models for Legal Natural Language Processing. CoRR abs/2211.02956 (2022) - 2021
- [c25]Ivan Habernal:
When differential privacy meets NLP: The devil is in the detail. EMNLP (1) 2021: 1522-1528 - [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) - [i8]Ivan Habernal:
When differential privacy meets NLP: The devil is in the detail. CoRR abs/2109.03175 (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)
2010 – 2019
- 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
- [j3]Ivan Habernal, Tomás Ptácek
, Josef Steinberger
:
Reprint of "Supervised sentiment analysis in Czech social media". Inf. Process. Manag. 51(4): 532-546 (2015) - [c11]Ivan Habernal, Iryna Gurevych:
Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. EMNLP 2015: 2127-2137 - 2014
- [j2]Ivan Habernal, Tomás Ptácek
, Josef Steinberger
:
Supervised sentiment analysis in Czech social media. Inf. Process. Manag. 50(5): 693-707 (2014) - [c10]Ivan Habernal, Judith Eckle-Kohler, Iryna Gurevych:
Argumentation Mining on the Web from Information Seeking Perspective. ArgNLP 2014 - [c9]Tomás Ptácek, Ivan Habernal, Jun Hong:
Sarcasm Detection on Czech and English Twitter. COLING 2014: 213-223 - 2013
- [j1]Ivan Habernal, Miloslav Konopík:
SWSNL: Semantic Web Search Using Natural Language. Expert Syst. Appl. 40(9): 3649-3664 (2013) - [c8]Tomás Brychcín, Ivan Habernal:
Unsupervised Improving of Sentiment Analysis Using Global Target Context. RANLP 2013: 122-128 - [c7]Ivan Habernal, Tomás Brychcín
:
Semantic Spaces for Sentiment Analysis. TSD 2013: 484-491 - [c6]Ivan Habernal, Tomás Ptácek, Josef Steinberger:
Sentiment Analysis in Czech Social Media Using Supervised Machine Learning. WASSA@NAACL-HLT 2013: 65-74 - [e3]Milos Zelezný, Ivan Habernal, Andrey Ronzhin
:
Speech and Computer - 15th International Conference, SPECOM 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings. Lecture Notes in Computer Science 8113, Springer 2013, ISBN 978-3-319-01930-7 [contents] - [e2]Ivan Habernal, Václav Matousek:
Text, Speech, and Dialogue - 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings. Lecture Notes in Computer Science 8082, Springer 2013, ISBN 978-3-642-40584-6 [contents] - 2011
- [e1]Ivan Habernal, Václav Matousek:
Text, Speech and Dialogue - 14th International Conference, TSD 2011, Pilsen, Czech Republic, September 1-5, 2011. Proceedings. Lecture Notes in Computer Science 6836, Springer 2011, ISBN 978-3-642-23537-5 [contents] - 2010
- [c5]Ivan Habernal, Miloslav Konopík:
Hybrid Semantic Analysis System - ATIS Data Evaluation. ADMA (2) 2010: 376-386
2000 – 2009
- 2009
- [c4]Ivan Habernal, Miloslav Konopík:
Semantic Annotation for the LingvoSemantics Project. TSD 2009: 299-306 - [c3]Miloslav Konopík, Ivan Habernal:
Hybrid Semantic Analysis. TSD 2009: 307-314 - 2008
- [c2]Ivan Habernal, Miloslav Konopík:
Active Tags for Semantic Analysis. TSD 2008: 69-76 - 2007
- [c1]Ivan Habernal, Miloslav Konopík:
JAAE: the java abstract annotation editor. INTERSPEECH 2007: 1298-1301
Coauthor Index
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