% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@inproceedings{zhang-etal-2022-survey,
    title = "A Survey of Active Learning for Natural Language Processing",
    author = "Zhang, Zhisong  and
      Strubell, Emma  and
      Hovy, Eduard",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.414",
    pages = "6166--6190",
    abstract = "In this work, we provide a literature review of active learning (AL) for its applications in natural language processing (NLP). In addition to a fine-grained categorization of query strategies, we also investigate several other important aspects of applying AL to NLP problems. These include AL for structured prediction tasks, annotation cost, model learning (especially with deep neural models), and starting and stopping AL. Finally, we conclude with a discussion of related topics and future directions.",
}


@inproceedings{Vaswani2017AttentionIA,
  title={Attention is All you Need},
  author={Ashish Vaswani and Noam M. Shazeer and Niki Parmar and Jakob Uszkoreit and Llion Jones and Aidan N. Gomez and Lukasz Kaiser and Illia Polosukhin},
  booktitle={NIPS},
  year={2017}
}

@article{DBLP:journals/jmlr/RaffelSRLNMZLL20,
  author       = {Colin Raffel and
                  Noam Shazeer and
                  Adam Roberts and
                  Katherine Lee and
                  Sharan Narang and
                  Michael Matena and
                  Yanqi Zhou and
                  Wei Li and
                  Peter J. Liu},
  title        = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text
                  Transformer},
  journal      = {J. Mach. Learn. Res.},
  volume       = {21},
  pages        = {140:1--140:67},
  year         = {2020},
  url          = {http://jmlr.org/papers/v21/20-074.html},
  timestamp    = {Fri, 05 Feb 2021 15:43:41 +0100},
  biburl       = {https://dblp.org/rec/journals/jmlr/RaffelSRLNMZLL20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}



@article{Chen2021AnES,
  title={An Empirical Survey of Data Augmentation for Limited Data Learning in NLP},
  author={Jiaao Chen and Derek Tam and Colin Raffel and Mohit Bansal and Diyi Yang},
  journal={Transactions of the Association for Computational Linguistics},
  year={2021},
  volume={11},
  pages={191-211}
}

@inproceedings{Parovic2022BADXBA,
  title={BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer},
  author={Marinela Parovic and Goran Glavas and Ivan Vulic and Anna Korhonen},
  booktitle={North American Chapter of the Association for Computational Linguistics},
  year={2022}
}

@article{Hou2021ExploitingAF,
  title={Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition},
  author={Wenxin Hou and Hanlin Zhu and Yidong Wang and Jindong Wang and Tao Qin and Renjun Xu and Takahiro Shinozaki},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2021},
  volume={30},
  pages={317-329}
}

@article{Schrder2020ASO,
  title={A Survey of Active Learning for Text Classification using Deep Neural Networks},
  author={Christopher Schr{\"o}der and Andreas Niekler},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.07267}
}

@article{Zhang2022ASO,
  title={A Survey of Active Learning for Natural Language Processing},
  author={Zhisong Zhang and Emma Strubell and Eduard H. Hovy},
  journal={ArXiv},
  year={2022},
  volume={abs/2210.10109}
}

@article{Vaswani2017AttentionIA,
  title={Attention is All you Need},
  author={Ashish Vaswani and Noam M. Shazeer and Niki Parmar and Jakob Uszkoreit and Llion Jones and Aidan N. Gomez and Lukasz Kaiser and Illia Polosukhin},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.03762}
}

@article{Fu2022AdapterBiasPT,
  title={AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks},
  author={Chin-Lun Fu and Zih-Ching Chen and Yun-Ru Lee and Hung-yi Lee},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.00305}
}

@inproceedings{Rckl2020AdapterDropOT,
  title={AdapterDrop: On the Efficiency of Adapters in Transformers},
  author={Andreas R{\"u}ckl{\'e} and Gregor Geigle and Max Glockner and Tilman Beck and Jonas Pfeiffer and Nils Reimers and Iryna Gurevych},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2020}
}

@article{Raffel2019ExploringTL,
  title={Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
  author={Colin Raffel and Noam M. Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.10683}
}

@inproceedings{Lewis2019BARTDS,
  title={BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension},
  author={Mike Lewis and Yinhan Liu and Naman Goyal and Marjan Ghazvininejad and Abdelrahman Mohamed and Omer Levy and Veselin Stoyanov and Luke Zettlemoyer},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2019}
}

@inproceedings{edunov-etal-2018-understanding,
    title = "Understanding Back-Translation at Scale",
    author = "Edunov, Sergey  and
      Ott, Myle  and
      Auli, Michael  and
      Grangier, David",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D18-1045",
    doi = "10.18653/v1/D18-1045",
    pages = "489--500",
    abstract = "An effective method to improve neural machine translation with monolingual data is to augment the parallel training corpus with back-translations of target language sentences. This work broadens the understanding of back-translation and investigates a number of methods to generate synthetic source sentences. We find that in all but resource poor settings back-translations obtained via sampling or noised beam outputs are most effective. Our analysis shows that sampling or noisy synthetic data gives a much stronger training signal than data generated by beam or greedy search. We also compare how synthetic data compares to genuine bitext and study various domain effects. Finally, we scale to hundreds of millions of monolingual sentences and achieve a new state of the art of 35 BLEU on the WMT{'}14 English-German test set.",
}


@inproceedings{Wei2019EDAED,
  title={EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks},
  author={Jason Wei and Kai Zou},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2019}
}

@article{Miao2020SnippextSO,
  title={Snippext: Semi-supervised Opinion Mining with Augmented Data},
  author={Zhengjie Miao and Yuliang Li and Xiaolan Wang and Wang Chiew Tan},
  journal={Proceedings of The Web Conference 2020},
  year={2020}
}

@article{Kumar2020DataAU,
  title={Data Augmentation using Pre-trained Transformer Models},
  author={Varun Kumar and Ashutosh Choudhary and Eunah Cho},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.02245}
}

@article{Kobayashi2018ContextualAD,
  title={Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations},
  author={Sosuke Kobayashi},
  journal={ArXiv},
  year={2018},
  volume={abs/1805.06201}
}

@inproceedings{Xu2021RetrievalFreeKD,
  title={Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters},
  author={Yan Xu and Etsuko Ishii and Zihan Liu and Genta Indra Winata and Dan Su and Andrea Madotto and Pascale Fung},
  booktitle={Workshop on Document-grounded Dialogue and Conversational Question Answering},
  year={2021}
}

@inproceedings{Rebuffi2017LearningMV,
  title={Learning multiple visual domains with residual adapters},
  author={Sylvestre-Alvise Rebuffi and Hakan Bilen and Andrea Vedaldi},
  booktitle={NIPS},
  year={2017}
}

@article{Chen2021AnES,
  title={An Empirical Survey of Data Augmentation for Limited Data Learning in NLP},
  author={Jiaao Chen and Derek Tam and Colin Raffel and Mohit Bansal and Diyi Yang},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.07499}
}

@article{Feng2021ASO,
  title={A Survey of Data Augmentation Approaches for NLP},
  author={Steven Y. Feng and Varun Gangal and Jason Wei and Sarath Chandar and Soroush Vosoughi and Teruko Mitamura and Eduard H. Hovy},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.03075}
}

@article{Pfeiffer2020AdapterFusionNT,
  title={AdapterFusion: Non-Destructive Task Composition for Transfer Learning},
  author={Jonas Pfeiffer and Aishwarya Kamath and Andreas R{\"u}ckl{\'e} and Kyunghyun Cho and Iryna Gurevych},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.00247}
}


@inproceedings{Houlsby2019ParameterEfficientTL,
  title={Parameter-Efficient Transfer Learning for NLP},
  author={Neil Houlsby and Andrei Giurgiu and Stanislaw Jastrzebski and Bruna Morrone and Quentin de Laroussilhe and Andrea Gesmundo and Mona Attariyan and Sylvain Gelly},
  booktitle={International Conference on Machine Learning},
  year={2019}
}

@article{Wang2021TaskOrientedDS,
  title={Task-Oriented Dialogue System as Natural Language Generation},
  author={Weizhi Wang and Zhirui Zhang and Junliang Guo and Yinpei Dai and Boxing Chen and Weihua Luo},
  journal={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2021}
}

@inproceedings{lee-etal-2022-fad,
    title = "{FAD}-{X}: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages",
    author = "Lee, Jaeseong  and
      Hwang, Seung-won  and
      Kim, Taesup",
    booktitle = "Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)",
    month = nov,
    year = "2022",
    address = "Online only",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.aacl-short.8",
    pages = "57--64",
    abstract = "Adapter-based tuning, by adding light-weight adapters to multilingual pretrained language models (mPLMs), selectively updates language-specific parameters to adapt to a new language, instead of finetuning all shared weights. This paper explores an effective way to leverage a public pool of pretrained language adapters, to overcome resource imbalances for low-resource languages (LRLs). Specifically, our research questions are, whether pretrained adapters can be composed, to complement or replace LRL adapters. While composing adapters for multi-task learning setting has been studied, the same question for LRLs has remained largely unanswered. To answer this question, we study how to fuse adapters across languages and tasks, then validate how our proposed fusion adapter, namely FAD-X, can enhance a cross-lingual transfer from pretrained adapters, for well-known named entity recognition and classification benchmarks.",
}


@inproceedings{wu-etal-2021-polyjuice,
    title = "Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models",
    author = "Wu, Tongshuang  and
      Ribeiro, Marco Tulio  and
      Heer, Jeffrey  and
      Weld, Daniel",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.523",
    doi = "10.18653/v1/2021.acl-long.523",
    pages = "6707--6723",
}

@inproceedings{DBLP:conf/lrec/BuntPGPFKP20,
	author    = {Harry Bunt and
	Volha Petukhova and
	Emer Gilmartin and
	Catherine Pelachaud and
	Alex Chengyu Fang and
	Simon Keizer and
	Laurent Pr{\'{e}}vot},
	title     = {The {ISO} Standard for Dialogue Act Annotation, Second Edition},
	booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference,
	{LREC} 2020, Marseille, France, May 11-16, 2020},
	pages     = {549--558},
	year      = {2020},
	url       = {https://aclanthology.org/2020.lrec-1.69/},
	timestamp = {Fri, 06 Aug 2021 00:40:03 +0200},
	biburl    = {https://dblp.org/rec/conf/lrec/BuntPGPFKP20.bib},
	bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/ssrr/WillmsHRFK19,
  author    = {Christian Willms and
               Constantin Houy and
               Jana{-}Rebecca Rehse and
               Peter Fettke and
               Ivana Kruijff{-}Korbayov{\'{a}}},
  title     = {Team communication processing and process analytics for supporting
               robot-assisted emergency response},
  booktitle = {{IEEE} International Symposium on Safety, Security, and Rescue Robotics,
               {SSRR} 2019, W{\"{u}}rzburg, Germany, September 2-4, 2019},
  pages     = {216--221},
  year      = {2019},
  url       = {https://doi.org/10.1109/SSRR.2019.8848976},
  doi       = {10.1109/SSRR.2019.8848976},
  timestamp = {Wed, 16 Oct 2019 14:14:53 +0200},
  biburl    = {https://dblp.org/rec/conf/ssrr/WillmsHRFK19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{tradr-paper,
author = {Kruijff-Korbayova, Ivana and Colas, Francis and Gianni, Mario and Pirri, Fiora and Greeff, Joachim and Hindriks, Koen and Neerincx, Mark and Ogren, Petter and Svoboda, Tomáš and Worst, Rainer},
year = {2015},
month = {06},
pages = {},
title = {TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response},
volume = {29},
journal = {KI - Künstliche Intelligenz},
doi = {10.1007/s13218-015-0352-5}
}

@article{DBLP:journals/corr/abs-1906-04165,
  author    = {Derek Miller},
  title     = {Leveraging {BERT} for Extractive Text Summarization on Lectures},
  journal   = {CoRR},
  volume    = {abs/1906.04165},
  year      = {2019},
  url       = {http://arxiv.org/abs/1906.04165},
  eprinttype = {arXiv},
  eprint    = {1906.04165},
  timestamp = {Fri, 14 Jun 2019 09:38:24 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1906-04165.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@misc{ma2019nlpaug,
  title={NLP Augmentation},
  author={Edward Ma},
  url={https://github.com/makcedward/nlpaug},
  year={2019}
}

@misc{dienstvorschrift,
author = {Feuerwehr-Dienstvorschrift},
title={Feuerwehr-Dienstvorschrift 100 Führung und Leitung im Einsatz: Führungssystem, Bundesamt für Bevölkerungsschutz und Katastrophenhilfe},
url={https://www.lfs-bw.de/fileadmin/LFS-BW/themen/gesetze_vorschriften/fwdv/dokumente/FwDV_100.pdf},
year={1999}
}

%@inproceedings{wolf-etal-2020-transformers,
%    title = "Transformers: State-of-the-Art Natural Language Processing",
%    author = "Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick von Platen and Clara Ma and Yacine Jernite and Julien Plu and Canwen Xu and Teven Le Scao and Sylvain Gugger and Mariama Drame and Quentin Lhoest and Alexander M. Rush",
%    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
%    month = oct,
%    year = "2020",
%    address = "Online",
%    publisher = "Association for Computational Linguistics",
%    url = "https://www.aclweb.org/anthology/2020.emnlp-demos.6",
%    pages = "38--45"
%}

@article{Chen2021AnES,
  title={An Empirical Survey of Data Augmentation for Limited Data Learning in NLP},
  author={Jiaao Chen and Derek Tam and Colin Raffel and Mohit Bansal and Diyi Yang},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.07499}
}

@inproceedings{pfeiffer2020AdapterHub,
    title={AdapterHub: A Framework for Adapting Transformers},
    author={Pfeiffer, Jonas and
            R{\"u}ckl{\'e}, Andreas and
            Poth, Clifton and
            Kamath, Aishwarya and
            Vuli{\'c}, Ivan and
            Ruder, Sebastian and
            Cho, Kyunghyun and
            Gurevych, Iryna},
    booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
    pages={46--54},
    year={2020}
}

@inproceedings{Madotto2020ContinualLI,
  title={Continual Learning in Task-Oriented Dialogue Systems},
  author={Andrea Madotto and Zhaojiang Lin and Zhenpeng Zhou and Seungwhan Moon and Paul A. Crook and Bing Liu and Zhou Yu and Eunjoon Cho and Zhiguang Wang},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2020}
}

@article{Raheja2019DialogueAC,
  title={Dialogue Act Classification with Context-Aware Self-Attention},
  author={Vipul Raheja and Joel R. Tetreault},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.02594}
}

@article{Emelin2022InjectingDK,
  title={Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems},
  author={Denis Emelin and Daniele Bonadiman and Sawsan Alqahtani and Yi Zhang and Saab Mansour},
  journal={ArXiv},
  year={2022},
  volume={abs/2212.08120}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

@book{Aho:72,
    author  = {Alfred V. Aho and Jeffrey D. Ullman},
    title   = {The Theory of Parsing, Translation and Compiling},
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}

@book{APA:83,
    author  = {{American Psychological Association}},
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@article{Chandra:81,
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}

@inproceedings{andrew2007scalable,
  title={Scalable training of {$L_1$}-regularized log-linear models},
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  booktitle={Proceedings of the 24th International Conference on Machine Learning},
  pages={33--40},
  year={2007},
  url={https://dl.acm.org/doi/abs/10.1145/1273496.1273501}
}

@book{Gusfield:97,
    author  = {Dan Gusfield},
    title   = {Algorithms on Strings, Trees and Sequences},
    year    = "1997",
    publisher = {Cambridge University Press},
    address = {Cambridge, UK},
    url={https://www.cambridge.org/core/books/algorithms-on-strings-trees-and-sequences/F0B095049C7E6EF5356F0A26686C20D3}
}

@article{rasooli-tetrault-2015,
    author    = {Mohammad Sadegh Rasooli and Joel R. Tetreault},
    title     = {Yara Parser: {A} Fast and Accurate Dependency Parser},
    journal   = {Computing Research Repository},
    volume    = {arXiv:1503.06733},
    year      = {2015},
    url       = {http://arxiv.org/abs/1503.06733},
    note    = {version 2}
}

@article{Ando2005,
	Acmid = {1194905},
	Author = {Ando, Rie Kubota and Zhang, Tong},
	Issn = {1532-4435},
	Issue_Date = {12/1/2005},
	Journal = {Journal of Machine Learning Research},
	Month = dec,
	Numpages = {37},
	Pages = {1817--1853},
	Publisher = {JMLR.org},
	Title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},
	Volume = {6},
	Year = {2005},
	url={https://www.jmlr.org/papers/volume6/ando05a/ando05a.pdf}
}

@article{ct1965,
  title={An algorithm for the machine calculation of complex {F}ourier series},
  author={Cooley, James W. and Tukey, John W.},
  journal={Mathematics of Computation},
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  number={90},
  pages={297--301},
  year={1965},
  url={https://www.ams.org/journals/mcom/1965-19-090/S0025-5718-1965-0178586-1/S0025-5718-1965-0178586-1.pdf}
}

@inproceedings{Anikina2019DialogueAC,
  title={Dialogue Act Classification in Team Communication for Robot Assisted Disaster Response},
  author={Tatiana Vyacheslavovna Anikina and Ivana Kruijff-Korbayov{\'a}},
  booktitle={SIGDIAL Conferences},
  year={2019}
}

