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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, Marco Naguib, Yuyan Qian, Matteo Radaelli, Wolfgang Schmeisser-Nieto, Emma Raimundo Schulz, Thiziri Saci, Sarah Saidi, Javier Torroba Marchante, Shilin Xie, Sergio E. Zanotto, Aurélie Névéol:
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, Margot Mieskes, Jochen De Weerdt, Bart Baesens:
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, Craig Thomson, Ehud Reiter, Gavin Abercrombie, Jose Maria Alonso-Moral, Mohammad Arvan, Jackie Chi Kit Cheung, Mark Cieliebak, Elizabeth Clark, Kees van Deemter, Tanvi Dinkar, Ondrej Dusek, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang:
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, Jochen De Weerdt, Bart Baesens:
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, Matthias Gallé, Thomas Wolf, Suzana Ilic, Yacine Jernite:
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, Karën Fort, Aurélie Névéol, Cyril Grouin, K. Bretonnel Cohen:
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, Iryna Gurevych:
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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