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CORDIS

Natural Language Understanding for non-standard languages and dialects

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Pubblicazioni

IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish

Autori: Christin Müller, Barbara Plank
Pubblicato in: 2024
Editore: ELRA and ICCL

Findings of the VarDial Evaluation Campaign 2023 (si apre in una nuova finestra)

Autori: Aepli, Noëmi; Cöltekin, Çağrı; Van Der Goot, Rob; Jauhiainen, Tommi; Kazzaz, Mourhaf; Ljube\vić, Nikola; North, Kai; Plank, Barbara; Scherrer, Yves; Zampieri, Marcos
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.5167/uzh-233792

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness (si apre in una nuova finestra)

Autori: Shijia Zhou, Huangyan Shan, Barbara Plank, Robert Litschko
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.semeval-1.259

“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models (si apre in una nuova finestra)

Autori: Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-acl.441

MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank

Autori: Verena Blaschke, Barbara Kovačić, Siyao Peng, Hinrich Schütze, Barbara Plank
Pubblicato in: 2024
Editore: ELRA and ICCL

Stop Measuring Calibration When Humans Disagree (si apre in una nuova finestra)

Autori: Baan, J.; Aziz, W.; Plank, B.; Fernández, R.
Pubblicato in: 2022
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2210.16133

The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation (si apre in una nuova finestra)

Autori: Barbara Plank
Pubblicato in: 2022
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2022.EMNLP-MAIN.731

SemEval-2023 Task 11: Learning with Disagreements (LeWiDi) (si apre in una nuova finestra)

Autori: Leonardelli, Elisa; Uma, Alexandra; Abercrombie, Gavin; Almanea, Dina; Basile, Valerio; Fornaciari, Tommaso; Plank, Barbara; Rieser, Verena; Poesio, Massimo
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.semeval-1.314

Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties

Autori: Artemova, Ekaterina; Blaschke, Verena; Plank, Barbara
Pubblicato in: 2024
Editore: Association for Computational Linguistics

Evidence \textgreater Intuition: Transferability Estimation for Encoder Selection (si apre in una nuova finestra)

Autori: Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank
Pubblicato in: 2022
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.283

Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?

Autori: Weber-Genzel, Leon; Litschko, Robert; Artemova, Ekaterina; Plank, Barbara
Pubblicato in: 2024
Editore: Association for Computational Linguistics

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models (si apre in una nuova finestra)

Autori: Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-emnlp.513

Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets

Autori: Leon Weber, Robert Litschko, Ekaterina Artemova, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics

Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models – A Survey

Autori: Mondorf, Philipp; Plank, Barbara
Pubblicato in: 2024
Editore: Conference on Language Modeling

Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data (si apre in una nuova finestra)

Autori: Litschko, Robert; Artemova, Ekaterina; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2305.05295

Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages (si apre in una nuova finestra)

Autori: Blaschke, Verena; Schütze, Hinrich; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2304.10158

What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects (si apre in una nuova finestra)

Autori: Blaschke, Verena; Purschke, Christoph; Schütze, Hinrich; Plank, Barbara
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2402.11968

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings

Autori: Elena Senger, Mike Zhang, Rob van der Goot, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics

How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives (si apre in una nuova finestra)

Autori: Wang, Xinpeng; Weissweiler, Leonie; Schütze, Hinrich; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2305.15032

ActiveAED: A Human in the Loop Improves Annotation Error Detection (si apre in una nuova finestra)

Autori: Weber, Leon; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2305.20045

What’s wrong with your model? A Quantitative Analysis of Relation Classification (si apre in una nuova finestra)

Autori: Elisa Bassignana, Rob van der Goot, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.starsem-1.20

“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? (si apre in una nuova finestra)

Autori: Beiduo Chen, Xinpeng Wang, Siyao Peng, Robert Litschko, Anna Korhonen, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-emnlp.842

Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification (si apre in una nuova finestra)

Autori: Shanshan Xu, Santosh T.y.s.s, Oana Ichim, Barbara Plank, Matthias Grabmair
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.13

A Survey of Corpora for Germanic Low-Resource Languages and Dialects

Autori: Blaschke, Verena; Schütze, Hinrich; Plank, Barbara
Pubblicato in: 2023
Editore: University of Tartu Library

Silver Syntax Pre-training for Cross-Domain Relation Extraction (si apre in una nuova finestra)

Autori: Bassignana, Elisa; Ginter, FIlip; Pyysalo, Sampo; van der Goot, Rob; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2305.11016

Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants

Autori: Miriam Winkler, Virginija Juozapaityte, Rob van der Goot, Barbara Plank
Pubblicato in: 2024
Editore: ELRA and ICCL

EEVEE: An Easy Annotation Tool for Natural Language Processing

Autori: Sorensen, Axel; Peng, Siyao; Plank, Barbara; van der Goot, Rob
Pubblicato in: 2024
Editore: Association for Computational Linguistics

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning (si apre in una nuova finestra)

Autori: Philipp Mondorf, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.508

Experimental Standards for Deep Learning in Natural Language Processing Research (si apre in una nuova finestra)

Autori: Ulmer, Dennis; Bassignana, Elisa; Müller-Eberstein, Max; Varab, Daniel; Zhang, Mike; van der Goot, Rob; Hardmeier, Christian; Plank, Barbara
Pubblicato in: 2022
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2204.06251

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability (si apre in una nuova finestra)

Autori: Giulianelli, Mario; Baan, Joris; Aziz, Wilker; Fernández, Raquel; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.887

Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models (si apre in una nuova finestra)

Autori: Philipp Mondorf, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.emnlp-main.404

ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation (si apre in una nuova finestra)

Autori: Wang, Xinpeng; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2310.14979

Low-resource Bilingual Dialect Lexicon Induction with Large Language Models

Autori: Artemova, Ekaterina; Plank, Barbara
Pubblicato in: 2023
Editore: University of Tartu Library

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity (si apre in una nuova finestra)

Autori: Anastasiia Sedova, Robert Litschko, Diego Frassinelli, Benjamin Roth, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.findings-emnlp.1003

NNOSE: Nearest Neighbor Occupational Skill Extraction

Autori: Zhang, Mike; van der Goot, Rob; Kan, Min Yen; Plank, Barbara
Pubblicato in: Zhang , M , van der Goot , R , Kan , M Y & Plank , B 2024 , NNOSE : Nearest Neighbor Occupational Skill Extraction . in Y Graham , M Purver & M Purver (eds) , EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference . Association for Computational Linguistics, ACL Anthology , EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference , vol. 1 , pp. 589-608 , 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 , St. Julian�s , Malta , 17/03/2024 ., 2024
Editore: Association for Computational Linguistics

Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training (si apre in una nuova finestra)

Autori: Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara; Titov, Ivan
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2310.16484

VariErr NLI: Separating Annotation Error from Human Label Variation (si apre in una nuova finestra)

Autori: Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.acl-long.123

ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain (si apre in una nuova finestra)

Autori: Zhang, Mike; van der Goot, Rob; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2305.12092

JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching

Autori: Magron, Antoine; Dai, Anna; Zhang, Mike; Montariol, Syrielle; Bosselut, Antoine
Pubblicato in: Magron , A , Dai , A , Zhang , M , Montariol , S & Bosselut , A 2024 , JOBSKAPE : A Framework for Generating Synthetic Job Postings to Enhance Skill Matching . in E Hruschka , T Lake , N Otani & T Mitchell (eds) , NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop . Association for Computational Linguistics, ACL Anthology , NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop , pp. 43-58 , 1st Workshop on Natural Language Processing for Human Resources, NLP4HR 2024 , St. Julian's , Malta , 22/03/2024 ., 2024
Editore: Association for Computational Linguistics

Establishing Trustworthiness: Rethinking Tasks and Model Evaluation (si apre in una nuova finestra)

Autori: Litschko, Robert; Müller-Eberstein, Max; van der Goot, Rob; Weber-Genzel, Leon; Plank, Barbara
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2310.05442

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification (si apre in una nuova finestra)

Autori: Xu, Shanshan; T.y.s.s, Santosh; Ichim, Oana; Risini, Isabella; Plank, Barbara; Grabmaier, Matthias
Pubblicato in: 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2310.11878

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?

Autori: Joris Baan, Raquel Fernández, Barbara Plank, Wilker Aziz
Pubblicato in: 2024
Editore: Association for Computational Linguistics

How to Encode Domain Information in Relation Classification

Autori: Elisa Bassignana, Viggo Unmack Gascou, Frida Nøhr Laustsen, Gustav Kristensen, Marie Haahr Petersen, Rob van der Goot, Barbara Plank
Pubblicato in: 2024
Editore: ELRA and ICCL

Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data

Autori: Siyao Peng, Zihang Sun, Huangyan Shan, Marie Kolm, Verena Blaschke, Ekaterina Artemova, Barbara Plank
Pubblicato in: 2024
Editore: ELRA and ICCL

Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations

Autori: Peng, Siyao; Sun, Zihang; Loftus, Sebastian; Plank, Barbara
Pubblicato in: 2024
Editore: Association for Computational Linguistics

CrossRE: A Cross-Domain Dataset for Relation Extraction (si apre in una nuova finestra)

Autori: Bassignana, Elisa; Plank, Barbara
Pubblicato in: 2022
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2210.09345

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

Autori: Wang, Xinpeng; Hu, Chengzhi; Ma, Bolei; Röttger, Paul; Plank, Barbara
Pubblicato in: 2024
Editore: Conference on Language Modeling

Entity Linking in the Job Market Domain

Autori: Zhang, Mike; van der Goot, Rob; Plank, Barbara
Pubblicato in: 2024
Editore: Association for Computational Linguistics

Rethinking Skill Extraction in the Job Market Domain using Large Language Models

Autori: Nguyen, Khanh Cao; Zhang, Mike; Montariol, Syrielle; Bosselut, Antoine
Pubblicato in: Nguyen , K C , Zhang , M , Montariol , S & Bosselut , A 2024 , Rethinking Skill Extraction in the Job Market Domain using Large Language Models . in E Hruschka , T Lake , N Otani & T Mitchell (eds) , NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop . Association for Computational Linguistics, ACL Anthology , NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop , pp. 27-42 , 1st Workshop on Natural Language Processing for Human Resources, NLP4HR 2024 , St. Julian's , Malta , 22/03/2024 ., 2024
Editore: Association for Computational Linguistics

Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction

Autori: Bassignana, Elisa; Ginter, Filip; Pyysalo, Sampo; van der Goot, Rob; Plank, Barbara
Pubblicato in: 2023
Editore: University of Tartu Library

More Labels or Cases? Assessing Label Variation in Natural Language Inference

Autori: Cornelia Gruber, Katharina Hechinger, Matthias Assenmacher, Göran Kauermann, Barbara Plank
Pubblicato in: 2024
Editore: Association for Computational Linguistics

Spectral Probing (si apre in una nuova finestra)

Autori: Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara
Pubblicato in: Müller-Eberstein , M , van der Goot , R & Plank , B 2022 , Spectral Probing . in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics , Abu Dhabi, United Arab Emirates , pp. 7730-7741 ., 2022
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2210.11860

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