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Margot Mieskes
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2020 – today
- 2024
- [c30]Karën Fort, Laura Alonso Alemany, Luciana Benotti, Julien Bezançon, Claudia Borg
, Marthese Borg, Yongjian Chen, Fanny Ducel, Yoann Dupont, Guido Ivetta, Zhijian Li, Margot Mieskes
Your Stereotypical Mileage May Vary: Practical Challenges of Evaluating Biases in Multiple Languages and Cultural Contexts. LREC/COLING 2024: 17764-17769 - [c29]Nadine Probol, Margot Mieskes
Autism Detection in Speech - A Survey. EACL (Findings) 2024: 1115-1125 - [i5]Nadine Probol, Margot Mieskes:
Autism Detection in Speech - A Survey. CoRR abs/2402.12880 (2024) - [i4]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - 2023
- [c28]Manon Reusens, Philipp Borchert
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. EMNLP 2023: 2887-2896 - [c27]Nadine Probol, Margot Mieskes:
Emotions in Spoken Language - Do we need acoustics? WASSA@ACL 2023: 71-84 - [e1]Yun-Nung Vivian Chen, Margot Mieskes, Siva Reddy:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-67-8 [contents] - [i3]Anya Belz
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i2]Manon Reusens, Philipp Borchert, Margot Mieskes
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. CoRR abs/2310.10310 (2023) - 2022
- [c26]Margot Mieskes:
Replicability under Near-Perfect Conditions - A Case-Study from Automatic Summarization. Insights@ACL 2022: 165-171 - [i1]Christopher Akiki, Giada Pistilli, Margot Mieskes
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model. CoRR abs/2212.04960 (2022) - 2021
- [c25]Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers:
Reviewing Natural Language Processing Research. EACL (Tutorial Abstracts) 2021: 14-16 - 2020
- [c24]K. Bretonnel Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol:
Reviewing Natural Language Processing Research. ACL (tutorial) 2020: 16-18 - [c23]Christopher Tauchmann, Johannes Daxenberger, Margot Mieskes
The Influence of Input Data Complexity on Crowdsourcing Quality. IUI Companion 2020: 71-72 - [c22]Christopher Tauchmann, Margot Mieskes:
Language Agnostic Automatic Summarization Evaluation. LREC 2020: 6656-6662 - [c21]Margot Mieskes, Eneldo Loza Mencía, Tim Kronsbein:
A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation. LREC 2020: 6690-6699
2010 – 2019
- 2019
- [c20]Margot Mieskes, Stefan Schmunk:
OCR Quality and NLP Preprocessing. WNLP@ACL 2019: 102-105 - [c19]Isabell Börner, Midhad Blazevic, Maximilian Komander, Margot Mieskes:
2019 GermEval Shared Task on Offensive Tweet Detection h_da submission. KONVENS 2019 - [c18]Margot Mieskes
Community Perspective on Replicability in Natural Language Processing. RANLP 2019: 768-775 - [c17]Bernhard Preisler, Margot Mieskes, Christoph Becker:
Bitcoin Value and Sentiment Expressed in Tweets. SwissText 2019 - 2018
- [c16]Margot Mieskes, Andreas Stiegelmayr:
Preparing Data from Psychotherapy for Natural Language Processing. LREC 2018 - [c15]Christopher Tauchmann, Thomas Arnold, Andreas Hanselowski, Christian M. Meyer, Margot Mieskes:
Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data. LREC 2018 - 2017
- [c14]Margot Mieskes:
A Quantitative Study of Data in the NLP community. EthNLP@EACL 2017: 23-29 - [c13]Andreas Stiegelmayr, Margot Mieskes
Using Argumentative Structure to Grade Persuasive Essays. GSCL 2017: 301-308 - 2016
- [c12]Christian M. Meyer, Darina Benikova, Margot Mieskes
MDSWriter: Annotation Tool for Creating High-Quality Multi-Document Summarization Corpora. ACL (System Demonstrations) 2016: 97-102 - [c11]Steffen Remus, Gerold Hintz, Chris Biemann, Christian M. Meyer, Darina Benikova, Judith Eckle-Kohler, Margot Mieskes, Thomas Arnold:
EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres. WAC@ACL 2016: 106-114 - [c10]Darina Benikova, Margot Mieskes, Christian M. Meyer, Iryna Gurevych:
Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources. COLING 2016: 1039-1050 - 2015
- [j1]Lucie Flekova, Tahir Sousa, Margot Mieskes, Iryna Gurevych:
Document-level school lesson quality classification based on German transcripts. J. Lang. Technol. Comput. Linguistics 30(1): 99-124 (2015) - [c9]Stefan Henß, Margot Mieskes, Iryna Gurevych:
A Reinforcement Learning Approach for Adaptive Single- and Multi-Document Summarization. GSCL 2015: 3-12 - [c8]Tahir Sousa, Lucie Flekova, Margot Mieskes, Iryna Gurevych:
Constructive feedback, thinking process and cooperation: assessing the quality of classroom interaction. INTERSPEECH 2015: 2739-2743 - 2014
- [c7]Christian M. Meyer, Margot Mieskes, Christian Stab, Iryna Gurevych:
DKPro Agreement: An Open-Source Java Library for Measuring Inter-Rater Agreement. COLING (Demos) 2014: 105-109 - 2011
- [c6]Margot Mieskes:
An Engine-Independent Text-to-Speech Workplace. INTERSPEECH 2011: 3311-3312
2000 – 2009
- 2008
- [b1]Margot Mieskes:
Exploring methods for the automatic summarization of meetings. University of Erlangen-Nuremberg, Germany, 2008, pp. 1-303 - [c5]Margot Mieskes, Michael Strube:
A Three-stage Disfluency Classifier for Multi Party Dialogues. LREC 2008 - [c4]Margot Mieskes, Michael Strube:
Parameters for Topic Boundary Detection in Multi-Party Dialogues. LREC 2008 - [c3]Mark-Christoph Müller, Margot Mieskes, Michael Strube:
Knowledge Sources for Bridging Resolution in Multi-Party Dialog. LREC 2008 - 2007
- [c2]Margot Mieskes, Christoph Müller, Michael Strube:
Improving extractive dialogue summarization by utilizing human feedback. Artificial Intelligence and Applications 2007: 672-677 - 2006
- [c1]Margot Mieskes, Michael Strube:
Part-of-Speech Tagging of Transcribed Speech. LREC 2006: 935-938
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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