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# Who cites «Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts»

18 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-yoshikawa-joint-transition-based-dependency-parsing/)

1. [Adversarial Training for Low-Resource Disfluency Correction](https://aclanthology.org/2023.findings-acl.514/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
2. [Data-driven Parsing Evaluation for Child-Parent Interactions](https://md.mova.elamur.ai/free/en/docs/papers/ud-2023-liu-data-driven-parsing-evaluation-child/) *— our card · 2023*
3. [Disfluency Detection for Vietnamese](https://aclanthology.org/2022.wnut-1.21/) *— 2022 · Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022)*
4. [How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection](https://aclanthology.org/2022.bionlp-1.4/) *— 2022 · Proceedings of the 21st Workshop on Biomedical Language Processing*
5. [LARD: Large-scale Artificial Disfluency Generation](https://aclanthology.org/2022.lrec-1.249/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
6. [The Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies](https://aclanthology.org/2021.iwpt-1.3/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
7. [Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection](https://aclanthology.org/2020.emnlp-main.142/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
8. [Improving Disfluency Detection by Self-Training a Self-Attentive Model](https://aclanthology.org/2020.acl-main.346/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection](https://aclanthology.org/2020.emnlp-main.113/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
10. [Neural Constituency Parsing of Speech Transcripts](https://aclanthology.org/N19-1282/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
11. [Disfluency Detection using Auto-Correlational Neural Networks](https://aclanthology.org/D18-1490/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
12. [Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing](https://aclanthology.org/W18-6005/) *— 2018 · Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)*
13. [Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information](https://aclanthology.org/N18-1007/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
14. [Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model](https://aclanthology.org/P17-2087/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [Error-repair Dependency Parsing for Ungrammatical Texts](https://aclanthology.org/P17-2030/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
16. [Parsing transcripts of speech](https://aclanthology.org/W17-4604/) *— 2017 · Proceedings of the Workshop on Speech-Centric Natural Language Processing*
17. macaire-2022-une-chaine-de-traitements-pour
18. stiefel-2017-enriching-asr-lattices-pos-tags
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