Anne Lauscher

Orcid: 0000-0001-8590-9827

Affiliations:
  • University of Hamburg, Germany
  • Bocconi University, Milan, Italy (former)
  • University of Mannheim, School of Business Informatics and Mathematics, Germany (PhD, former)
  • Stuttgart Media University, Germany (former)


According to our database1, Anne Lauscher authored at least 66 papers between 2017 and 2024.

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Bibliography

2024
SoK: Towards Security and Safety of Edge AI.
CoRR, 2024

WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case.
CoRR, 2024

Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment.
CoRR, 2024

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP.
CoRR, 2024

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning.
CoRR, 2024

Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language.
CoRR, 2024

What Can Natural Language Processing Do for Peer Review?
CoRR, 2024

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
CoRR, 2024

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Local Contrastive Editing of Gender Stereotypes.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Why do LLaVA Vision-Language Models Reply to Images in English?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GeFMT: Gender-Fair Language in German Machine Translation.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Argument Quality Assessment in the Age of Instruction-Following Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks.
CoRR, 2023

Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

What about "em"? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Scientia Potentia Est - On the Role of Knowledge in Computational Argumentation.
Trans. Assoc. Comput. Linguistics, 2022

Back to the Future: On Potential Histories in NLP.
CoRR, 2022

On the Limitations of Sociodemographic Adaptation with Transformers.
CoRR, 2022

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bridging Fairness and Environmental Sustainability in Natural Language Processing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Fair and Argumentative Language Modeling for Computational Argumentation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Sprachrepräsentationen für Rechnerische Argumentation.
Proceedings of the Ausgezeichnete Informatikdissertationen 2021., 2021

Visual Summary Identification From Scientific Publications via Self-Supervised Learning.
Frontiers Res. Metrics Anal., 2021

Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Sustainable Modular Debiasing of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Self-Supervised Learning for Visual Summary Identification in Scientific Publications.
Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment.
CoRR, 2020

Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers.
CoRR, 2020

From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers.
CoRR, 2020

AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings.
Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020

The OpenCitations Data Model.
Proceedings of the Semantic Web - ISWC 2020, 2020

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Informing Unsupervised Pretraining with External Linguistic Knowledge.
CoRR, 2019

Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

MinScIE: Citation-Centered Open Information Extraction.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

2018
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Argument-Annotated Corpus of Scientific Publications.
Proceedings of the 5th Workshop on Argument Mining, 2018

ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing.
Proceedings of the 5th Workshop on Argument Mining, 2018

2017
University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity.
Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) organized as a part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) and co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

Investigating Convolutional Networks and Domain-Specific Embeddings for Semantic Classification of Citations.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

SLaTE: A System for Labeling Topics with Entities.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

Entitäten als Topic Labels: Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling.
Proceedings of the 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2017


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