Ivan Habernal - RankMe

90 papers A* 6A 2B 6Misc 1Journal 40Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Legal Summarization: Challenges and Future Directions. ACM Comput. Surv. Mousumi Akter, Erion Çano, Erik Weber, Dennis Dobler, Ivan Habernal
2026	J	`jnl`	Legal experts disagree with rationale extraction techniques for explaining ECtHR case outcome classification. CoRR Mahammad Namazov, Tomás Koref, Ivan Habernal
2026	J	`jnl`	The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques. CoRR Sebastian Ochs, Ivan Habernal
2025	J	`jnl`	A Comprehensive Survey on Legal Summarization: Challenges and Future Directions. CoRR Mousumi Akter, Erion Çano, Erik Weber, Dennis Dobler, Ivan Habernal
2025	J	`jnl`	Differentially-private text generation degrades output language quality. CoRR Erion Çano, Ivan Habernal
2025	J	`jnl`	Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs. CoRR Jiawen Wang, Pritha Gupta, Ivan Habernal, Eyke Hüllermeier
2025	J	`jnl`	Mining Legal Arguments to Study Judicial Formalism. CoRR Tomás Koref, Lena Held, Mahammad Namazov, Harun Kumru, Yassine Thlija, Christoph Burchard, Ivan Habernal
2025	—	`conf`	Private Synthetic Text Generation with Diffusion Models. NAACL (Long Papers) Sebastian Ochs, Ivan Habernal
2025	—	`ed.`	Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 - System Demonstrations, Suzhou, China, November 4-9, 2025 EMNLP (System Demonstrations) Ivan Habernal, Peter Schulam, Jörg Tiedemann
2025	—	`ed.`	Proceedings of the First Argument Mining and Empirical Legal Research Workshop co-located with the 20th International Conference on Artificial Intelligence and Law (ICAIL 2025), Chicago, United States, June 20, 2025. AMELR@ICAIL Tomás Koref, Lena Held, Ivan Habernal
2025	—	`conf`	The Impact of Inference Acceleration on Bias of LLMs. NAACL (Long Papers) Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2025	J	`jnl`	Transparent NLP: Using RAG and LLM Alignment for Privacy Q&A. CoRR Anna Leschanowsky, Zahra Kolagar, Erion Çano, Ivan Habernal, Dara Hallinan, Emanuël A. P. Habets, Birgit Popp
2024	—	`conf`	Answering legal questions from laymen in German civil law system. EACL (1) Marius Büttner, Ivan Habernal
2024	—	`conf`	DP-NMT: Scalable Differentially Private Machine Translation. EACL (Demonstrations) Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
2024	—	`conf`	Differentially Private Natural Language Models: Recent Advances and Future Directions. EACL (Findings) Lijie Hu, Ivan Habernal, Lei Shen, Di Wang
2024	—	`conf`	Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. EMNLP (Findings) Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal
2024	J	`jnl`	Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation. CoRR Doan Nam Long Vu, Timour Igamberdiev, Ivan Habernal
2024	J	`jnl`	Mining legal arguments in court decisions. Artif. Intell. Law Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard
2024	A*	`conf`	Private Language Models via Truncated Laplacian Mechanism. EMNLP Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang
2024	J	`jnl`	Private Language Models via Truncated Laplacian Mechanism. CoRR Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang
2024	J	`jnl`	Private Synthetic Text Generation with Diffusion Models. CoRR Sebastian Ochs, Ivan Habernal
2024	J	`jnl`	Problem Solving Through Human-AI Preference-Based Cooperation. CoRR Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze
2024	—	`conf`	SemEval-2024 Task 5: Argument Reasoning in Civil Procedure. SemEval@NAACL Lena Held, Ivan Habernal
2024	J	`jnl`	The Impact of Inference Acceleration Strategies on Bias of LLMs. CoRR Elisabeth Kirsten, Ivan Habernal, Vedant Nanda, Muhammad Bilal Zafar
2024	—	`conf`	To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems? LREC/COLING Christopher Weiss, Frauke Kreuter, Ivan Habernal
2023	J	`jnl`	Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. CoRR Nina Mouhammad, Johannes Daxenberger, Benjamin Schiller, Ivan Habernal
2023	—	`conf`	DP-BART for Privatized Text Rewriting under Local Differential Privacy. ACL (Findings) Timour Igamberdiev, Ivan Habernal
2023	J	`jnl`	DP-BART for Privatized Text Rewriting under Local Differential Privacy. CoRR Timour Igamberdiev, Ivan Habernal
2023	J	`jnl`	DP-NMT: Scalable Differentially-Private Machine Translation. CoRR Timour Igamberdiev, Doan Nam Long Vu, Felix Künnecke, Zhuo Yu, Jannik Holmer, Ivan Habernal
2023	J	`jnl`	Differentially Private Natural Language Models: Recent Advances and Future Directions. CoRR Lijie Hu, Ivan Habernal, Lei Shen, Di Wang
2023	A	`conf`	How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications. ICWSM Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek
2023	J	`jnl`	LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights. CoRR Lena Held, Ivan Habernal
2023	J	`jnl`	To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? CoRR Christopher Weiss, Frauke Kreuter, Ivan Habernal
2023	—	`conf`	Trade-Offs Between Fairness and Privacy in Language Modeling. ACL (Findings) Cleo Matzken, Steffen Eger, Ivan Habernal
2023	J	`jnl`	Trade-Offs Between Fairness and Privacy in Language Modeling. CoRR Cleo Matzken, Steffen Eger, Ivan Habernal
2022	B	`conf`	DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. COLING Timour Igamberdiev, Thomas Arnold, Ivan Habernal
2022	J	`jnl`	DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. CoRR Timour Igamberdiev, Thomas Arnold, Ivan Habernal
2022	J	`jnl`	How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application. CoRR Ramit Sawhney, Atula Tejaswi Neerkaje, Ivan Habernal, Lucie Flek
2022	J	`jnl`	How reparametrization trick broke differentially-private text representation leaning. CoRR Ivan Habernal
2022	—	`conf`	How reparametrization trick broke differentially-private text representation learning. ACL (2) Ivan Habernal
2022	J	`jnl`	Mining Legal Arguments in Court Decisions. CoRR Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard
2022	A*	`conf`	One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. EMNLP Manuel Senge, Timour Igamberdiev, Ivan Habernal
2022	B	`conf`	Privacy-Preserving Graph Convolutional Networks for Text Classification. LREC Timour Igamberdiev, Ivan Habernal
2022	—	`conf`	Privacy-Preserving Models for Legal Natural Language Processing. NLLP@EMNLP Ying Yin, Ivan Habernal
2022	J	`jnl`	Privacy-Preserving Models for Legal Natural Language Processing. CoRR Ying Yin, Ivan Habernal
2022	—	`conf`	The Legal Argument Reasoning Task in Civil Procedure. NLLP@EMNLP Leonard Bongard, Lena Held, Ivan Habernal
2022	J	`jnl`	The Legal Argument Reasoning Task in Civil Procedure. CoRR Leonard Bongard, Lena Held, Ivan Habernal
2021	J	`jnl`	One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks. CoRR Manuel Senge, Timour Igamberdiev, Ivan Habernal
2021	J	`jnl`	Privacy-Preserving Graph Convolutional Networks for Text Classification. CoRR Timour Igamberdiev, Ivan Habernal
2021	—	`ed.`	Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, EACL 2021, Online, April 19-20, 2021 EACL (Tutorial Abstracts) Isabelle Augenstein, Ivan Habernal
2021	—	`conf`	When differential privacy meets NLP: The devil is in the detail. EMNLP (1) Ivan Habernal
2021	J	`jnl`	When differential privacy meets NLP: The devil is in the detail. CoRR Ivan Habernal
2020	J	`jnl`	Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. CoRR Max Glockner, Ivan Habernal, Iryna Gurevych
2020	—	`conf`	Why do you think that? Exploring faithful sentence-level rationales without supervision. EMNLP (Findings) Max Glockner, Ivan Habernal, Iryna Gurevych
2018	B	`conf`	Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices. LREC Ivan Habernal, Patrick Pauli, Iryna Gurevych
2018	—	`conf`	Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. NAACL-HLT Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2018	J	`jnl`	Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation. CoRR Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2018	—	`conf`	SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. SemEval@NAACL-HLT Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2018	—	`conf`	The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants. NAACL-HLT Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2017	—	`conf`	Argotario: Computational Argumentation Meets Serious Games. EMNLP (System Demonstrations) Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych
2017	J	`jnl`	Argotario: Computational Argumentation Meets Serious Games. CoRR Ivan Habernal, Raffael Hannemann, Christian Pollak, Christopher Klamm, Patrick Pauli, Iryna Gurevych
2017	J	`jnl`	Argumentation Mining in User-Generated Web Discourse. Comput. Linguistics Ivan Habernal, Iryna Gurevych
2017	—	`conf`	Argumentation Quality Assessment: Theory vs. Practice. ACL (2) Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych, Benno Stein
2017	—	`ed.`	Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017 ArgMining@EMNLP Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker
2017	J	`jnl`	The Argument Reasoning Comprehension Task. CoRR Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2017	A*	`conf`	What is the Essence of a Claim? Cross-Domain Claim Identification. EMNLP Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych
2017	J	`jnl`	What is the Essence of a Claim? Cross-Domain Claim Identification. CoRR Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych
2016	J	`jnl`	Argumentation Mining in User-Generated Web Discourse. CoRR Ivan Habernal, Iryna Gurevych
2016	B	`conf`	C4Corpus: Multilingual Web-size Corpus with Free License. LREC Ivan Habernal, Omnia Zayed, Iryna Gurevych
2016	B	`conf`	Crowdsourcing a Large Dataset of Domain-Specific Context-Sensitive Semantic Verb Relations. LREC Maria Sukhareva, Judith Eckle-Kohler, Ivan Habernal, Iryna Gurevych
2016	A*	`conf`	New Collection Announcement: Focused Retrieval Over the Web. SIGIR Ivan Habernal, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, Iryna Gurevych
2016	A*	`conf`	What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. EMNLP Ivan Habernal, Iryna Gurevych
2016	—	`conf`	Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. ACL (1) Ivan Habernal, Iryna Gurevych
2015	A*	`conf`	Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse. EMNLP Ivan Habernal, Iryna Gurevych
2015	J	`jnl`	Reprint of "Supervised sentiment analysis in Czech social media". Inf. Process. Manag. Ivan Habernal, Tomás Ptácek, Josef Steinberger
2014	—	`conf`	Argumentation Mining on the Web from Information Seeking Perspective. ArgNLP Ivan Habernal, Judith Eckle-Kohler, Iryna Gurevych
2014	B	`conf`	Sarcasm Detection on Czech and English Twitter. COLING Tomás Ptácek, Ivan Habernal, Jun Hong
2014	J	`jnl`	Supervised sentiment analysis in Czech social media. Inf. Process. Manag. Ivan Habernal, Tomás Ptácek, Josef Steinberger
2013	J	`jnl`	SWSNL: Semantic Web Search Using Natural Language. Expert Syst. Appl. Ivan Habernal, Miloslav Konopík
2013	—	`conf`	Semantic Spaces for Sentiment Analysis. TSD Ivan Habernal, Tomás Brychcín
2013	—	`conf`	Sentiment Analysis in Czech Social Media Using Supervised Machine Learning. WASSA@NAACL-HLT Ivan Habernal, Tomás Ptácek, Josef Steinberger
2013	—	`ed.`	Speech and Computer - 15th International Conference, SPECOM 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings SPECOM Milos Zelezný, Ivan Habernal, Andrey Ronzhin
2013	—	`ed.`	Text, Speech, and Dialogue - 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013. Proceedings TSD Ivan Habernal, Václav Matousek
2013	Misc	`conf`	Unsupervised Improving of Sentiment Analysis Using Global Target Context. RANLP Tomás Brychcín, Ivan Habernal
2011	—	`ed.`	Text, Speech and Dialogue - 14th International Conference, TSD 2011, Pilsen, Czech Republic, September 1-5, 2011. Proceedings TSD Ivan Habernal, Václav Matousek
2010	—	`conf`	Hybrid Semantic Analysis System - ATIS Data Evaluation. ADMA (2) Ivan Habernal, Miloslav Konopík
2009	—	`conf`	Hybrid Semantic Analysis. TSD Miloslav Konopík, Ivan Habernal
2009	—	`conf`	Semantic Annotation for the LingvoSemantics Project. TSD Ivan Habernal, Miloslav Konopík
2008	—	`conf`	Active Tags for Semantic Analysis. TSD Ivan Habernal, Miloslav Konopík
2007	A	`conf`	JAAE: the java abstract annotation editor. INTERSPEECH Ivan Habernal, Miloslav Konopík