NLPExplorer

Ivan Habernal

Number of Papers:- 36

Number of Citations:- 148

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

WASSA

EMNLP

ArgMining

Findings

RANLP

SemEval

SemBEaR

LREC

ACL

EACL

*SEMEVAL

PrivateNLP

Co-Authors:-

Abhilasha Ravichander

Similar Authors:-

SemEval-2024 Task 5: Argument Reasoning in Civil Procedure SemEval

Lena Held | Ivan Habernal |

Differentially Private Natural Language Models: Recent Advances and Future Directions F i n d i n g s - E A C L

Lijie Hu | Ivan Habernal | Lei Shen | Di Wang |

DP-NMT: Scalable Differentially Private Machine Translation EACL

Answering legal questions from laymen in German civil law system EACL

Marius Büttner | Ivan Habernal |

Proceedings of the Fifth Workshop on Privacy in Natural Language Processing PrivateNLP WS

Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation F i n d i n g s - E M N L P

Doan Nam Long Vu | Timour Igamberdiev | Ivan Habernal |

Private Language Models via Truncated Laplacian Mechanism EMNLP

Privacy-Preserving Natural Language Processing EACL

Trade-Offs Between Fairness and Privacy in Language Modeling F i n d i n g s - A C L

Cleo Matzken | Steffen Eger | Ivan Habernal |

DP-BART for Privatized Text Rewriting under Local Differential Privacy F i n d i n g s - A C L

Timour Igamberdiev | Ivan Habernal |

How reparametrization trick broke differentially-private text representation learning ACL

Ivan Habernal |

Proceedings of the Fourth Workshop on Privacy in Natural Language Processing NAACL PrivateNLP

DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting COLING

Timour Igamberdiev | Thomas Arnold | Ivan Habernal |

Privacy-Preserving Graph Convolutional Networks for Text Classification LREC

Timour Igamberdiev | Ivan Habernal |

One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks EMNLP

Manuel Senge | Timour Igamberdiev | Ivan Habernal |

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts EACL

Isabelle Augenstein | Ivan Habernal |

When differential privacy meets NLP: The devil is in the detail EMNLP

Ivan Habernal |

Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP Findings

Max Glockner | Ivan Habernal | Iryna Gurevych |

Adapting Serious Game for Fallacious Argumentation to German: Pitfalls, Insights, and Best Practices LREC

Ivan Habernal | Patrick Pauli | Iryna Gurevych |

Before Name-Calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation NAACL

Ivan Habernal | Henning Wachsmuth | Iryna Gurevych | Benno Stein |

The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants NAACL

Ivan Habernal | Henning Wachsmuth | Iryna Gurevych | Benno Stein |

SemEval-2018 Task 12: The Argument Reasoning Comprehension Task *SEMEVAL

Ivan Habernal | Henning Wachsmuth | Iryna Gurevych | Benno Stein |

Computational Argumentation: A Journey Beyond Semantics, Logic, Opinions, and Easy Tasks NAACL SemBEaR WS

Ivan Habernal |

What is the Essence of a Claim? Cross-Domain Claim Identification EMNLP

Argotario: Computational Argumentation Meets Serious Games EMNLP

Argumentation Mining in User-Generated Web Discourse CL

Ivan Habernal | Iryna Gurevych |

Argumentation Quality Assessment: Theory vs. Practice ACL

Proceedings of the 4th Workshop on Argument Mining ArgMining WS

What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation EMNLP

Ivan Habernal | Iryna Gurevych |